NEXT EVENT SESSION
24-25 April  2024 ( Instant E-Certificate)
For Enquiries: network@researchw.com

About the Event

About the Award

Network Science and Graph Analytics are rapidly growing fields that study the structure, behavior, and dynamics of complex networks, including social networks, biological networks, transportation networks, and more. International research awards in Network Science and Graph Analytics aim to recognize and honor outstanding contributions to these fields, and to promote innovation and excellence in research.These awards are typically presented by professional societies, academic organizations, and industry associations that are focused on Network Science and Graph Analytics. Some of these awards are specifically aimed at recognizing early career researchers, while others honor lifetime achievements in the field. Nominees for these awards are evaluated based on their research contributions, scientific impact, and the quality and relevance of their work.The awards often include a cash prize, a certificate, and an invitation to give a keynote speech or present their research at a conference or workshop. They provide researchers with international recognition and prestige, which can enhance their career prospects and encourage further research in the field.

International research awards in Network Science and Graph Analytics serve as a platform for bringing together researchers, practitioners, and industry experts from around the world to share knowledge, exchange ideas, and foster collaborations. They play a crucial role in advancing the field by encouraging innovation, promoting interdisciplinary research, and recognizing the most impactful contributions to the field.

What does the award include

The profile of the award winners of each category be listed on our website and it will be maintained forever.

The certificate, medal, and Memento, and photographs will be a testimony. Further, this recognition and additional proof of hard work and achievements must be globally accessible for Researchers and hence will be available online 24/7.

It’s an indicator of success Enhances the reputation improves the benchmark –it’s a matter of pride – Motivation – Raises the visibility of the success.

Researcher Awards

Researcher Awards

Young Scientist Award: This Awarded to researchers who are in the early stage of their career for outstanding research in their field. This award is bestowed in the motive of identifying and Recognizing the young Researchers around the world who have the potential to become leaders n their field. The qualification of the nominee must be recognized and documented by corresponding successes in research contributions, such as Collaborations and Publications. Eligibility: A working professional can nominate for the Award. Research grants for medical students also awarded as scientist awards. He must be below 35 years of age as of the conference date.

Best Researcher Award: This Awarded to the Best researcher in any field for their significant contribution to the advancement in their field of expertise. The qualification of the nominee must be recognized and documented by corresponding successes in research contributions, such as Collaborations, Contracts, and Publications. Eligibility: A working professional can nominate for the Award. There is no age limit for Best Researcher Award category.

Outstanding Scientist Award: Exceptional research record of significant contribution to the institute/company. The qualification of the nominee must be recognized and documented by corresponding successes in research contributions, such as Grants, Patents, Collaborations, Contracts, books, and Publications. Eligibility: A working professional can nominate for the Award. He must be above 35 years of age as of the conference date.

Lifetime Achievement Award: This awards an Exceptional research record of significant contribution to the institute/company. The qualification of the nominee must be recognized and documented by corresponding successes in research contributions, such as Grants, Patents, Collaborations, Contracts, books, and Publications. Eligibility: A working professional can nominate for the Award. He must be above 35 years of age as of the conference date.

Women Researcher Award: Awarded to the Best women researcher in any field for their significant contribution to the advancement in their field of expertise. The qualification of the nominee must be recognized and documented by corresponding successes in research contributions, such as Collaborations, Contracts, and Publications. Eligibility: A working professional can nominate for the Award.

Best Innovation Award: This Awarded to researchers/institutes/Organizations who are in the early stage of their careers for outstanding innovation in their field. This award is bestowed with the motive of identifying and Recognizing the Researchers/institutes/organizations around the world who have the potential to become leaders n their field. The qualification of the nominee must be recognized and documented by corresponding successes in research contributions, such as Collaborations and Publications. Eligibility: A working professional/ Institute/ Organization can nominate for the Award.

Best Faculty Award: This Awarded to the Best Faculty in any field for their significant contribution to the advancement in their field of expertise. The qualification of the nominee must be recognized and documented by corresponding successes in research/ Academic contributions, such as Collaborations, Contracts, and Publications. Eligibility: A working professional can nominate for the Award. He must be under 45 years of age as of the conference date.

Best Scholar Award: This Awarded to Scholar/ Student who are in the early stage of their career for outstanding research in their field. This award is bestowed in the motive of identifying and Recognizing the young Researchers scholar/ Student around the world who have the potential to become leaders n their field. The qualification of the nominee must be recognized and documented by corresponding successes in research contributions, such as Publications. Eligibility: A scholar can nominate for the Award. He must be under 35 years of age as of the conference date.

Institute/ Organization Awards

Institute/ Organization Awards:

Excellence in Innovation: This Awarded to Institute/ Organization/ Business/ Industries who are in the early stage of their career for outstanding innovation in their field. This award is bestowed in the motive of identifying and Recognizing the Institute/ Organization/ Business/ Industries around the world who have the potential to become leaders n their field. The qualification of the nominee must be recognized and documented by corresponding successes in innovation contribution, such as Innovation, Patent, Entrepreneurship, and New project development. Eligibility: A Institute /Organization/ Industries can nominate for the Award.

Excellence in Research: This Awarded to Institute/ Organization/ Business/ Industries who are in the early stage of their career for outstanding research in their field. This award is bestowed in the motive of identifying and Recognizing the Institute/ Organization/ Business/ Industries around the world who have the potential to become leaders n their field. The qualification of the nominee must be recognized and documented by corresponding successes in research contribution, such as publication, research Grants, Research & developments, Entrepreneurship development. Eligibility: A Institute /Organization/ Industries can nominate for the Award.

Excellence Award (Any Scientific field): This Awarded to Institute/ Organization/ Business/ Industries who are in the early stage of their career for outstanding excellence in their field. This award is bestowed in the motive of identifying and Recognizing the Institute/ Organization/ Business/ Industries around the world who have the potential to become leaders n their field. The qualification of the nominee must be recognized and documented by corresponding successes in their field contribution, such as Advancement, New Technology, and Development. Eligibility: A Institute /Organization/ Industries can nominate for the Award.

Best Research /Innovation Extension activity: This Awarded to Institute/ Organization/ Business/ Industries who are in the early stage of their career for outstanding Research/ innovation in their field. This award is bestowed in the motive of identifying and Recognizing the Institute/ Organization/ Business/ Industries around the world who have the potential to become leaders n their field. The qualification of the nominee must be recognized and documented by corresponding successes in their field contribution, such as Extension, Public useful innovation /Research Activities, Innovative services, Awareness programs, and New Technology awareness Development. Eligibility: A Institute /Organization/ Industries can nominate for the Award.

How to Apply

How to Apply

The Candidates with eligibility can click the “Nominate /Submit Your Profile (CV) Now” button and fill up the online submission form and Submit it.

This section describes the total Research Awards processes in step by steps:

  1. Received Nomination documents will be sent for the screening process
  2. Acknowledgment intimation via email will be communicated to the Nominee
  3. The team may ask the proof for the credits mentioned in the Resume.
  4. Cross verifying the documents submitted & forwarding it to the Committee.
  5. The selected candidate indicated through email. Also, the selected nominees will be checked anytime on the website track of my submission.
  6. Event and Celebration Registration
  7. Release of the winners list in the official web page
  8. Award presentation ceremony
  9. Release of the Award winners and his profile Report.

Registration

Registration Details

Registration Covers

  • An exclusive web page for a highly rated profile of the award winners will always be available online.
  • Participation in Award event Session and Keynote session.
  • Certificate, Memento, and Photographs.
  • Event Kit, Tea, Coffee & Snacks.
  • Veg & Non-Veg Lunch during the Event.
  • Event and Celebration Registration
  • Release of the winners list in the official web page
  • Award presentation ceremony
  • Release of the Award winners and his profile Report.

Registration Procedure

Click the “Register Now” button at the conference page and enter your Submission ID in the Search Box
Your Submissions will be listed on that page. You can find the Register Now link beside your submission. Click the link and now you will be redirected to the Conference registration form where you can make your registration using credit/debit cards

General Instructions to Nominees

  1. The candidates with proper eligibility are requested to submit the online nomination form in order to get nominated for the award
  2. If your nomination is accepted by our Judges, we will send you an email regarding your profile selection
  3. Awardees must register for the event
  4. Dress Code: Award Recipients have to wear a formal dress. There are no restrictions on color or design. The audience attending only the ceremony can wear clothing of their own choice.
  5. General Information: Each winner’s name will be called & asked to collect their Awards on the Stage with an official photographer to capture the moments.

 

Terms & Conditions

Terms & Conditions

ScienceFather Terms & Conditions Policy was last updated on June 25, 2022

Privacy Policy

This awards  Customer personal information for our legitimate business purposes, to process and respond to inquiries, and provide our services, to manage our relationship with editors, authors, institutional clients, service providers, and other business contacts, to market our services and subscription management. We do not sell, rent/ trade your personal information to third parties.

Relationship

Sciencefather awards Operate a Customer Association Management and email list program, which we use to inform customers and other contacts about our services, including our publications and events. Such marketing messages may contain tracking technologies to track subscriber activity relating to engagement, demographics, and other data, and to build subscriber profiles.

Disclaimer

 All editorial matters published on this website represent the opinions of the authors and not necessarily those of the Publisher with the publications. Statements and opinions expressed do not represent the official policies of the relevant associations unless so stated. Every effort has been made to ensure the accuracy of the material that appears on this website. Please ignore, however, that some errors may occur.

Responsibility

Delegates are personally responsible for their belongings at the venue. The Organizers will not be held accountable for any stolen or missing items belonging to Delegates, Speakers, or Attendees; due to any reason whatsoever.

Insurance

Registration fees that do not include insurance of any kind.

Press and Media

Press permission must be getting from the ScienceFather Conferences Organizing Committee before the event. The press will not quote speakers or delegates unless they have obtained their approval in writing. This conference is not associated with any commercial meeting company.

Transportation

Please note that any (or) all traffic and parking is the responsibility of the registrant.

Requesting an Invitation Letter

For security purposes, the letter of invitation will be sent only to those individuals who had registered for the conference. Once your registration is complete, please contact contact@ScienceFather.com to request a personalized letter of invitation.

Cancellation Policy

If cancel this event for any reason, you will receive a credit for 100% of the registration fee paid. You may use this credit for another Primary healthcare award which must occur within one year from the date of cancellation.

Postponement Policy

If postpone an event for any reason and you are unable or indisposed to attend on rescheduled dates, you will receive a credit for 100% of the registration fee paid. You may use this credit for another ScienceFather event which must occur within one year from the date of postponement.

Transfer of registration

All fully paid registrations are transferable to other persons from the same organization if the registered person is unable to attend the event. The registered person must make transfers in writing to contact@sciencefather.com. Details must include the full name of an alternative person, their title, contact phone number, and email address. All other registration details will be assigned to the new person unless otherwise specified. Registration can be transferred from one conference to another conference of ScienceFather if the person is unable to attend one of the meetings. However, Registration cannot be transferred if it will be intimated within 14 days of the particular conference. The transferred registrations will not be eligible for Refund.

Visa Information

Keeping given the increased security measures, we would like to request all the participants to apply for Visa as soon as possible. Network Science and Graph Analytics awards will not directly contact embassies and consulates on behalf of visa applicants. All delegates or invitees should apply for Business Visa only. Important note for failed visa applications: Visa issues cannot come under the consideration of the cancellation policy of Network Science and Graph Analytics awards, including the inability to obtain a visa.

Refund Policy

Regarding refunds, all bank charges will be for the registrant’s account. All cancellations or modifications of registration must make in writing to contact@ScienceFather.com

If the registrant is unable to attend and is not in a position to transfer his/her participation to another person or event, then the following refund arrangements apply:

Keeping given advance payments towards Venue, Printing, Shipping, Hotels and other overheads, we had to keep Refund Policy is as following conditions,

Before 60 days of the Conference: Eligible for Full Refund less $100 Service Fee
Within 60-30 days of Conference: Eligible for 50% of payment Refund
Within 30 days of Conference: Not eligible for Refund
E-Poster Payments will not be refunded.

Accommodation Cancellation Policy

 Accommodation Providers such as hotels have their cancellation policies, and they generally apply when cancellations are made less than 30 days before arrival. Please contact us as soon as possible if you wish to cancel or amend your accommodation. ScienceFather will advise the cancellation policy of your accommodation provider, before withdrawing or changing your booking, to ensure you are fully aware of any non-refundable deposits.

Our Authorization Policy

By registering for the event, award and conference, you grant ScienceFather permission to photograph, film, record, and use your name, likeness, image, voice, and comments. These materials may be published, reproduced, exhibited, distributed, broadcasted, edited, and/or digitized in publications, advertising materials, or any other form worldwide without compensation. Please note that the taking of photographs and/or videotaping during any session is prohibited. If you have any queries, please feel free to contact us.

Sponsorship

Sponsorship

Sciencefather warmly invites you to sponsor or exhibit at International Conference. We expect participants more than 200 numbers for our International conference will provide an opportunity to hear and meet/ads to Researchers, Practitioners, and Business Professionals to share expertise, foster collaborations, and assess rising innovations across the world in the core area of mechanical engineering.

Sponsorship Details

Diamond Sponsorship

  1. Acknowledgment during the opening of the conference
  2. Complimentary Booth of size 10 meters square
  3. Four (4) delegate’s complimentary registrations with lunch
  4. Include marketing document in the delegate pack
  5. Logo on Conference website, Banners, Backdrop, and conference proceedings
  6. One exhibition stand (1×1 meters) for the conference
  7. One full cover page size ad in conference proceedings
  8. Opportunities for Short speech at events
  9. Opportunity to sponsors conference kit
  10. Opportunity to sponsors conference lanyards, ID cards
  11. Opportunity to sponsors conference lunch
  12. Recognition in video ads
  13. 150-word company profile and contact details in the delegate pack

Platinum Sponsorship

  1. Three (3) delegate’s complimentary registrations with lunch
  2. Recognition in video ads
  3. Opportunity to sponsors conference lunch
  4. Opportunity to sponsors conference lanyards, ID cards
  5. Opportunity to sponsors conference kit
  6. Opportunities for Short speech at events
  7. One full-page size ad in conference proceedings
  8. One exhibition stand (1×1 meters) for the conference
  9. Logo on Conference website, Banners, Backdrop, and conference proceedings
  10. Include marketing document in the delegate pack
  11. Complimentary Booth of size 10 meters square
  12. Acknowledgment during the opening of the conference
  13. 100-word company profile and contact details in the delegate pack

Gold Sponsorship

  1. Two (2) delegate’s complimentary registrations with lunch
  2. Opportunities for Short speech at events
  3. Logo on Conference website, Banners, Backdrop, and conference proceedings
  4. Include marketing document in the delegate pack
  5. Complimentary Booth of size 10 meters square
  6. Acknowledgment during the opening of the conference
  7. 100-word company profile and contact details in the delegate pack
  8. ½ page size ad in conference proceedings

Silver Sponsorship

  1. Acknowledgment during the opening of the conference
  2. One(1) delegate’s complimentary registrations with lunch
  3. Include marketing document in the delegate pack
  4. Logo on Conference website, Banners, Backdrop, and conference proceedings
  5. ¼ page size ad in conference proceedings
  6. 100-word company profile and contact details in the delegate pack

Individual Sponsorship

  1. Acknowledgment during the opening of the conference
  2. One(1) delegate’s complimentary registrations with lunch

 

Sponsorship Registration Fees

Details Registration fees
Diamond Sponsorship USD 2999
Platinum Sponsorship USD 2499
Gold Sponsorship USD 1999
Silver Sponsorship USD 1499
Individual Sponsorship USD 999

Exhibitions

Exhibitions

Exhibit your Products & Services

Exhibit your Products & Services in our Event of the International Research Awards on Network Science and Graph Analytics. Exhibitors are welcomed from Commercial and Non-Commercial Organizations related to Network Science and Graph Analytics.

The best platform to develop new partnerships & collaborations.

Best location to speed up your route into every territory in the World.

Our exhibitor booths were visited 4-5 times by 80% of the attendees during the conference.

Network development with both Academia and Business.

 

Exhibitor benefits

Exhibit booth of Size-3X3 sqm.

Promotion of your logo/Company Name/Brand Name through the conference website.

Promotional video on company products during the conference (Post session and Breaks).

Logo recognition in the Scientific program, Conference banner, and flyer.

One A4 flyer inserts into the conference kit.

An opportunity to sponsor 1 Poster Presentation Award.

 

Contact Us:

For Enquiries, Contact us through conference mail.

 

 

Popular Books

1.Networks, Crowds, and Markets: Reasoning About a Highly Connected World by David Easley and Jon Kleinberg, Cambridge University Press, 2010 | 2.The Structure and Dynamics of Networks by Mark Newman, Princeton University Press, 2006 | 3.Link Mining: Models, Algorithms, and Applications by Philip S. Yu and Jiawei Han, Springer, 2010 | 4.Introduction to Social Network Analysis by Linton C. Freeman, Sage Publications, 2004 | 5.Graph Theory and Its Applications by Jonathan L. Gross and Jay Yellen, Chapman and Hall/CRC, 2006 | 6.Networks, Complexity, and Internet Regulation: Scale-Free Law by Erez Reiner, Cambridge University Press, 2014 | 7.Mining Massive Data Sets by Jure Leskovec, Anand Rajaraman, and Jeffrey D. Ullman, Cambridge University Press, 2014 | 8.Handbook of Graph Theory by Jonathan L. Gross and Jay Yellen, CRC Press, 2003 | 9.Social Network Analysis: Methods and Applications by Stanley Wasserman and Katherine Faust, Cambridge University Press, 1994 | 10.Graph Theory with Applications by J.A. Bondy and U.S.R. Murty, Elsevier Science, 1976 | 11.Network Analysis, Architecture, and Design by James D. McCabe, Morgan Kaufmann Publishers, 2007 | 12.Networks: An Introduction by Mark Newman, Oxford University Press, 2010 | 13.Handbook of Graph Drawing and Visualization by Roberto Tamassia, Chapman and Hall/CRC, 2013 | 14.Networks, Complexity and Economic Development: Theoretical Insights and Empirical Evidence by S. Manikutty and Sugata Marjit, Springer, 2010 | 15.Networks, Crowds, and Markets: A Book by David Easley and Jon Kleinberg by David Easley and Jon Kleinberg, Cambridge University Press, 2010 | 16.Social and Economic Networks by Matthew O. Jackson, Princeton University Press, 2008 | 17.Graph Algorithms by Shimon Even and Guy Even, Cambridge University Press, 2011 | 18.Complex Networks: Structure, Robustness and Function by Ernesto Estrada and Naomichi Hatano, Cambridge University Press, 2015 | 19.The New Science of Networks by Albert-László Barabási, Cambridge University Press, 2002 | 20.Network Analysis Literacy: A Practical Approach to the Analysis of Networks by Christina Prell, Sage Publications, 2012 | 21.Graphs, Networks and Algorithms by Dieter Jungnickel, Springer, 2008 | 22.Networks of Networks: The Last Frontier of Complexity by Gregorio D\’Agostino, Antonio Scala, and Carlo Ratti, Springer, 2014 | 23.Social Network Analysis for Startups: Finding Connections on the Social Web by Maksim Tsvetovat and Alexander Kouznetsov, O\’Reilly Media, 2011 | 24.Graph Theory: Modeling, Applications, and Algorithms by Geir Agnarsson and Raymond Greenlaw, Prentice Hall, 2007 | 25.Link Prediction in Social Networks: Role of Power Law Distribution by Ayan Chatterjee, IGI Global, 2014 | 26.Networks: An Introduction by M. E. J. Newman, Oxford University Press, 2010 | 27.Graphs, Networks and Algorithms by Dieter Jungnickel, Springer, 2013 | 28.Social Networks and the Semantic Web by Peter Mika, Springer, 2007 | 29.Foundations of Network Analysis and Visualization by Heather Harrington, Cambridge University Press, 2020 | 30.Community Detection and Mining in Social Media by Lei Tang and Huan Liu, Morgan & Claypool Publishers, 2010 | 31.Graph Data Management: Techniques and Applications by Ling Liu and M. Tamer Özsu, CRC Press, 2011 | 32.Exploratory Social Network Analysis with Pajek by Wouter de Nooy, Andrej Mrvar, and Vladimir Batagelj, Cambridge University Press, 2011 | 33.Dynamic Network Theory: How Social Networks Influence Goal Pursuit by James D. Westaby, Springer, 2018 | 34.Graph-Based Natural Language Processing and Information Retrieval by Rada Mihalcea and Dragomir Radev, Cambridge University Press, 2011 | 35.Graphical Models, Exponential Families, and Variational Inference by Martin J. Wainwright and Michael I. Jordan, Springer, 2008 | 36.Handbook of Research on Computational Science and Engineering: Theory and Practice by C. León, J. M. Molina, and M. Luján, IGI Global, 2012 | 37.Networks in Social Policy Problems by Philipp Harfst and Horst Kern, Springer, 2016 | 38.Algorithms for Sensor Systems: 14th International Symposium on Algorithms and Experiments for Wireless Sensor Networks\” by Artur Czumaj and Christian Scheideler, Springer, 2018 | 39.Complex Networks and Dynamics: Social and Economic Interactions by Giovanni Dosi, Giorgio Fagiolo, and Andrea Roventini, Springer, 2013 | 40.The Structure and Dynamics of Networks by Mark Newman, Princeton University Press, 2018 | 41.Algorithms and Theory of Computation Handbook by Mikhail J. Atallah and Marina Blanton, CRC Press, 2010 | 42.Graph Theory and Its Applications by Jonathan L. Gross and Jay Yellen, Chapman and Hall/CRC, 2006 | 43.Dynamic Social Network Modeling and Analysis: Workshop Summary and Papers by National Research Council, National Academies Press, 2003 | 44.Graph Drawing and Network Visualization by Roberto Tamassia and Ioannis G. Tollis, CRC Press, 1998 | 45.Graph Algorithms in the Language of Linear Algebra by Jeremy Kepner and John Gilbert, Society for Industrial and Applied Mathematics, 2011 | 46.Social Network Analysis and Education: Theory, Methods & Applications by Brian V. Carolan, Sage Publications, 2014 | 47.Computational Social Network Analysis: Trends, Tools and Research Advances by Ajith Abraham and Aboul-Ella Hassanien, Springer, 2010 | 48.Graphs and Networks: Multilevel Modeling by Emmanuel Lazega and Tom A. B. Snijders, Cambridge University Press, 2016 | 49.Graph-Based Representations in Pattern Recognition by João Manuel R. S. Tavares and R. M. Natal Jorge, Springer, 2006 | 50.Handbook of Network Science edited by Albert-László Barabási, Cambridge University Press, 2016 | 51.Introduction to Graph Theory by Richard J. Trudeau, Dover Publications, 1993 | 52.Graph Theory and Complex Networks: An Introduction by Maarten van Steen, IOS Press, 2010 | 53.Dynamic Network Theory: How Social Networks Influence Goal Pursuit by Christina Prell, Sage Publications, 2012 | 54.Networks in Action: Text and Computer Exercises in Network Science by Laszlo Gulyas and Miklos Kurucz, Springer, 2014 | 55.Graph-Based Natural Language Processing and Information Retrieval by Rada Mihalcea and Dragomir Radev, Cambridge University Press, 2011 | 56.Large-Scale Network Analysis: Modeling, Inference, and Practical Applications by Matthias Dehmer, Frank Emmert-Streib, and Stefan Pickl, Wiley, 2014 | 57.Social Networks and the Semantic Web by Peter Mika, Springer, 2007 | 58.Social Network Analysis: Methods and Examples by Song Yang, Springer, 2013 | 59.Graph Analysis and Visualization: Discovering Business Opportunity in Linked Data by Richard Brath and David Jonker, John Wiley & Sons, 2015 | 60.Introduction to Network Analysis with R by Valentin Todorov and Martina Morris, Springer, 2015 | 61.Complex Networks: Structure, Robustness and Dynamics by Ernesto Estrada and Naomichi Hatano, Cambridge University Press, 2017 | 62.Complex Networks: An Algorithmic Perspective by Kayhan Erciyes, CRC Press, 2014 | 63.Handbook of Research on Innovations in Systems and Software Engineering edited by Muthu Ramachandran, IGI Global, 2013 | 64.Networks: A Very Short Introduction by Guido Caldarelli and Michele Catanzaro, Oxford University Press, 2012 | 65.Random Graphs by Bela Bollobas, Cambridge University Press, 2001 | 66.Networks of Outrage and Hope: Social Movements in the Internet Age by Manuel Castells, Polity Press, 2012 | 67.Graph Theory and Interconnection Networks by David E. Morrison, Prentice Hall, 1987 | 68.Social Network Analysis for Ego-Nets: Social Network Analysis for Actor-Centred Networks by Nick Crossley, Sage Publications, 2010 | 69.Graph Theory by Reinhard Diestel, Springer, 2010 | 70.Data Mining: Practical Machine Learning Tools and Techniques by Ian H. Witten, Eibe Frank, and Mark A. Hall, Morgan Kaufmann, 2016 | 71.Analysis of Complex Networks: From Biology to Technology and Security edited by Matthias Dehmer, Abbe Mowshowitz, and Frank Emmert-Streib, Wiley-VCH, 2009 | 72.Graph Theory, Combinatorics and Algorithms: Interdisciplinary Applications by Martin Charles Golumbic, Springer, 2004 | 73.Social Network Analysis: A Handbook by John Scott, Sage Publications, 2011 | 74.Algorithmic Graph Theory by David Joyner, Michael E. Saks, and Gerhard Ringel, American Mathematical Society, 2005 | 75.The Cambridge Handbook of Artificial Intelligence edited by Keith Frankish and William Ramsey, Cambridge University Press, 2014 | 76. Network Science by Albert-László Barabási, Cambridge University Press, 1st edition, 2016 | 77. Networks, Crowds, and Markets: Reasoning About a Highly Connected World by David Easley and Jon Kleinberg, Cambridge University Press, 1st edition, 2010 | 78. Introduction to Graph Theory by Richard J. Trudeau, Dover Publications, 1st edition, 2019 | 79. Handbook of Graph Theory edited by Jonathan L. Gross and Jay Yellen, CRC Press, 2nd edition, 2014 | 80. The Structure and Dynamics of Networks by Mark Newman, Princeton University Press, 1st edition, 2010 | 81. Graph Theory and Complex Networks: An Introduction by Maarten van Steen, CRC Press, 1st edition, 2020 | 82. Networks, Complexity, and Internet Regulation: Scale-Free Law by Yochai Benkler, MIT Press, 1st edition, 2006 | 83. The Cambridge Handbook of Social Networks edited by Peter J. Carrington and John Scott, Cambridge University Press, 1st edition, 2011 | 84. Random Graphs and Complex Networks: Volume 1 by Remco van der Hofstad, Cambridge University Press, 1st edition, 2017 | 85. Social Network Analysis: Methods and Applications by Stanley Wasserman and Katherine Faust, Cambridge University Press, 1st edition, 1994 | 86. Graph Theory: Modeling, Applications, and Algorithms by Geir Agnarsson and Raymond Greenlaw, Prentice Hall, 1st edition, 2006 | 87. Graph Theory by Reinhard Diestel, Springer, 5th edition, 2016 | 88. Dynamics On and Of Complex Networks: Applications to Biology, Computer Science, and the Social Sciences edited by Niloy Ganguly, Alberto L. Barabasi, and Animesh Mukherjee, Springer, 1st edition, 2013 | 89. Network Analysis and Synthesis: A Modern Systems Theory Approach by D. Roy Choudhury, Prentice Hall, 1st edition, 2006 | 90. Complex Networks: Structure, Robustness and Function edited by Ernesto Estrada and Naomichi Hatano, Cambridge University Press, 1st edition, 2015 | 91.Networks, Crowds, and Markets: Reasoning About a Highly Connected World by David Easley and Jon Kleinberg. Cambridge University Press, 2010. | 92.The Structure and Dynamics of Networks by Mark Newman. Princeton University Press, 2003. | 93.Graph Theory and Complex Networks: An Introduction by Maarten van Steen. Eindhoven University of Technology, 2010. | 94.Networks, Complexity, and Internet Regulation: Scale-Free Law by Ian Brown. Cambridge University Press, 2011. | 95.Graph Theory by Reinhard Diestel. Springer, 2010. | 96.Complex Networks: Structure, Robustness and Function by Ernesto Estrada and Naomichi Hatano. Cambridge University Press, 2015. | 97.Handbook of Graph Theory edited by Jonathan L. Gross and Jay Yellen. CRC Press, 2003. | 98.An Introduction to Complex Networks: From Biology to Technology and Society by Ernesto Estrada. Oxford University Press, 2017. | 99.Introduction to Graph Theory by Douglas B. West. Prentice Hall, 2001. | 100.Network Science by Albert-László Barabási. Cambridge University Press, 2016.

Related Societies

1. Network Science Institute, Northeastern University, USA | 2. Center for Complex Network Research, Northeastern University, USA | 3. Network Dynamics and Simulation Science Laboratory, Arizona State University, USA | 4. Laboratory for Web Algorithmics, EPFL, Switzerland | 5. Complex Systems Group, University of Bristol, UK | 6. Center for Complex Networks and Systems Research, Indiana University, USA | 7. Center for Network Science and Applications, University of Notre Dame, USA | 8. Networks, Computation, and Social Dynamics Lab, Stanford University, USA | 9. Center for Social and Biological Networks, University of California, Los Angeles, USA | 10. Network Science and Engineering Lab, University of Massachusetts Amherst, USA | 11. Center for the Study of Complex Systems, University of Michigan, USA | 12. Center for Complex Systems and Brain Sciences, Florida Atlantic University, USA | 13. Network Science and Engineering Lab, University of California, Irvine, USA | 14. Theoretical and Computational Ecology Lab, University of California, Davis, USA | 15. Network Science Lab, University of California, Santa Barbara, USA | 16. Complex Systems Group, Santa Fe Institute, USA | 17. Institute for Networks and Communities, University of Aberdeen, UK | 18. Laboratory for the Analysis of Complex Economic Systems, University of Trento, Italy | 19. Center for Research in Social Complexity, George Mason University, USA | 20. Interdisciplinary Center for Network Science and Applications, University of Notre Dame, USA | 21. Network Dynamics and Simulation Science Laboratory, Arizona State University, USA | 22. Network Science and Engineering Lab, Northeastern University, USA | 23. Network Science and Technology Center, University of Maryland, USA | 24. Network Science and Machine Learning Lab, Carnegie Mellon University, USA | 25. Social and Algorithmic Systems Lab, Princeton University, USA | 26. Network and Data Science Lab, Temple University, USA | 27. Complex Networks and Systems Lab, Harvard University, USA | 28. Laboratory for Web Science, University of Southampton, UK | 29. Laboratory for the Analysis of Network Data, Stanford University, USA | 30. Networks, Information, and Complexity Lab, Northeastern University, USA | 31. Center for Computational Social Science, George Mason University, USA | 32. Center for Data Science and Public Policy, University of Chicago, USA | 33. Complex Systems Research Center, University of New Hampshire, USA | 34. Laboratory for the Analysis of Nonlinear Systems, Boston University, USA | 35. Networked Systems Lab, Georgia Institute of Technology, USA | 36. Laboratory for Analyzing and Visualizing Networks, University of California, Los Angeles, USA | 37. Center for Network Science, Central European University, Hungary | 38. Complex Systems Lab, National Autonomous University of Mexico, Mexico | 39. Center for Complex Systems and Enterprises, Stevens Institute of Technology, USA | 40. Computational Social Science Lab, University of Maryland, USA | 41. Network Science and Technology Center, University of California, San Diego, USA | 42. Computational Social Science Lab, ETH Zurich, Switzerland | 43. Laboratory for Network Biology, Boston University, USA | 44. Network Science and Engineering Lab, University of Connecticut, USA | 45. Complex Systems Group, Universitat Politecnica de Catalunya, Spain | 46. Network Science Institute, University of Alberta, Canada | 47. Network Science and Society Lab, Arizona State University, USA | 48. Networked Systems and Services Lab, University of Michigan, USA | 49. Complex Systems Group, University of Exeter, UK | 50. Laboratory for the Modeling of Biological and Socio-Technical Systems, Northeastern University, USA | 51. Center for the Study of Networks and Society, University of Pennsylvania, USA | 52. Network Science Society, USA | 53. Society for Industrial and Applied Mathematics (SIAM) Activity Group on Network Science, USA | 54. International Network for Social Network Analysis (INSNA), USA | 55. European Social Network Analysis (EUSN) Association, Europe | 56. Asia Pacific Network Science Society (APNetS), Asia Pacific region | 57. Network Analysis and Mining (NAM) Society, International | 58. Complex Systems Society, International | 59. Society for Chaos Theory in Psychology & Life Sciences, USA | 60. International Society for Ecological Modelling, International | 61. International Society for Computational Biology (ISCB), International | 62. International Association for Statistical Computing (IASC) Network, International | 63. International Society for Bayesian Analysis (ISBA) Section on Bayesian Networks, International | 64. International Society for Network Science and Engineering (ISNSE), International | 65. European Association for Computational Biology (EACB), Europe | 66. International Association for Mathematical Geosciences (IAMG), International | 67. International Federation of Classification Societies (IFCS) Working Group on Graphs and Networks, International | 68. International Association for Computing and Philosophy (IACAP) Working Group on Computational Social Science, International | 69. Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB) Special Interest Group on Complex Systems, UK | 70. The Complex Systems Society of Australia (CSSA), Australia | 71. The New England Complex Systems Institute (NECSI), USA | 72. The Santa Fe Institute, USA | 73. The Institute for Pure and Applied Mathematics (IPAM) Working Group on Network Science, USA | 74. The Network Science and Society Research Group, UK | 75. The Network Science and Complexity Group, Switzerland | 76. The Network Science Group, University of Cambridge, UK | 77. The Network Science Group, Imperial College London, UK | 78. The Network Science Lab, Aalto University, Finland | 79. The Network Science Lab, Indian Institute of Technology Delhi, India | 80. The Network Science Lab, National University of Singapore, Singapore | 81. The Network Science Lab, University of Sydney, Australia | 82. The Network Science Lab, University of Warwick, UK | 83. The Network Science Research Group, University of Oxford, UK | 84. The Network Science Research Group, University of Toronto, Canada | 85. The Oxford-Man Institute of Quantitative Finance, University of Oxford, UK | 86. The Research Center for Complex Networks and Systems Research, University of Ljubljana, Slovenia | 87. The Research Group on Network Science, University of Lisbon, Portugal | 88. The Social Network Analysis Research Group, University of Manchester, UK | 89. The Social Network Analysis Research Group, University of Zurich, Switzerland | 90. The Social Network Analysis Research Group, University of Groningen, Netherlands | 91. The Social Network Analysis Research Group, University of Edinburgh, UK | 92. The Social Network Analysis Research Group, University of Bath, UK | 93. The Social Network Analysis Research Group, University of Essex, UK | 94. The Social Network Analysis Research Group, University of Leuven, Belgium | 95. The Social Network Analysis Research Group, University of Southampton, UK | 96. The Social Network Analysis Research Group, University of St Andrews, UK | 97. The Social Network Analysis Research Group, University of Sussex, UK | 98. The Social Network Analysis Research Group, University of Vienna, Austria | 99. The Social Network Analysis Research Group, University of Zurich, Switzerland | 100. International Society for Astrostatistics and Space Science, International

Related Researchers

1. Albert-László Barabási – Northeastern University, USA – Network Science | 2. Mark Newman – University of Michigan, USA – Complex Systems and Networks | 3. Duncan J. Watts – University of Pennsylvania, USA – Social Networks and Human Dynamics | 4. Lada Adamic – University of Michigan, USA – Social Computing and Information Networks | 5. Jon Kleinberg – Cornell University, USA – Algorithmic Game Theory and Social Networks | 6. Jure Leskovec – Stanford University, USA – Machine Learning and Graph Analysis | 7. Mason A. Porter – University of California, Los Angeles, USA – Network Science and Mathematical Biology | 8. Alessandro Chessa – University of Cagliari, Italy – Network Dynamics and Complex Systems | 9. Vittoria Colizza – Sorbonne University, France – Epidemic Modeling and Data Science | 10. Peter Sheridan Dodds – University of Vermont, USA – Complex Systems and Computational Social Science | 11. Ernesto Estrada – University of Strathclyde, UK – Network Science and Graph Theory | 12. Michael W. Macy – Cornell University, USA – Social Dynamics and Computational Social Science | 13. Santo Fortunato – Indiana University, USA – Network Science and Complex Systems | 14. Raissa M. D’Souza – University of California, Davis, USA – Network Science and Statistical Physics | 15. Albert Diaz-Guilera – Universitat de Barcelona, Spain – Complex Networks and Statistical Physics | 16. Guido Caldarelli – IMT Alti Studi Lucca, Italy – Complex Networks and Statistical Physics | 17. Laszlo Gulyas – Budapest University of Technology and Economics, Hungary – Network Science and Complex Systems | 18. Bruno Gonçalves – New York University, USA – Computational Social Science and Network Science | 19. David Lazer – Northeastern University, USA – Computational Social Science and Network Science | 20. Johan Bollen – Indiana University, USA – Web Science and Social Networks | 21. Diego Garlaschelli – City, University of London, UK – Network Science and Complex Systems | 22. Aaron Clauset – University of Colorado Boulder, USA – Network Science and Computational Social Science | 23. M. Ángeles Serrano – Universidad de Zaragoza, Spain – Network Science and Complex Systems | 24. Andrea Baronchelli – City, University of London, UK – Network Science and Computational Social Science | 25. Santo Fortunato – Indiana University, USA – Network Science and Complex Systems | 26. Yong-Yeol Ahn – Indiana University, USA – Network Science and Computational Social Science | 27. Ginestra Bianconi – Queen Mary University of London, UK – Network Science and Complex Systems | 28. Nicholas A. Christakis – Yale University, USA – Social Networks and Health | 29. Manuel Sebastian Mariani – University of Barcelona, Spain – Network Science and Complex Systems | 30. Dashun Wang – Northwestern University, USA – Network Science and Computational Social Science | 31. Daniele Quercia – University of Trento, Italy – Computational Social Science and Network Science | 32. Ying-Cheng Lai – Arizona State University, USA – Complex Networks and Nonlinear Dynamics | 33. Claudio Castellano – Sapienza University of Rome, Italy – Network Science and Statistical Physics | 34. Marcelo Gleiser – Dartmouth College, USA – Complex Networks and Statistical Physics | 35. Renaud Lambiotte – University of Oxford, UK – Network Science and Complex Systems | 36. Fabio Saracco – ISI Foundation, Italy – Network Science and Complex Systems | 37. James P. Bagrow – University of Vermont, USA – Network Science and Computational Social Science | 38. Balázs Vedres – Central European University, Hungary – Social Networks and Organizations | 39. Xiaoming Huo – Georgia Institute of Technology, USA – Graph Analytics and Machine Learning | 40. Jennifer Neville – Purdue University, USA – Network Science and Machine Learning | 41. Kathleen M. Carley – Carnegie Mellon University, USA – Computational Social Science and Network Science | 42. Martin Rosvall – Umeå University, Sweden – Network Science and Information Visualization | 43. Daniele Panozzo – New York University, USA – Graph Analytics and Computer Graphics | 44. Alexandre Arenas – University of Zaragoza, Spain – Network Science and Complex Systems | 45. Rodrigo Alves da Silva – Federal University of Rio Grande do Sul, Brazil – Network Science and Social Computing | 46. Kim Albrecht – Northeastern University, USA – Network Science and Data Visualization | 47. János Kertész – Central European University, Hungary – Complex Networks and Statistical Physics | 48. David Garcia – Complexity Science Hub Vienna, Austria – Computational Social Science and Network Science | 49. Zoltán Toroczkai – University of Notre Dame, USA – Complex Systems and Network Science | 50. Pan Hui – University of Helsinki, Finland – Social Networks and Data Science | 51. Riccardo Gallotti – ISI Foundation, Italy – Network Science and Data Science | 52. Daniela Frauchiger – ETH Zurich, Switzerland – Network Science and Complex Systems | 53. Alex Vespignani – Northeastern University, USA – Network Science and Computational Epidemiology | 54. Tiago Peixoto – University of Bath, UK – Network Science and Computational Social Science | 55. Gourab Ghoshal – University of Oxford, UK – Network Science and Mathematical Biology | 56. Mirko Tobias Schäfer – Utrecht University, Netherlands – Digital Media and Networked Publics | 57. Johan Ugander – Stanford University, USA – Network Science and Machine Learning | 58. Christoph Stadtfeld – ETH Zurich, Switzerland – Social Networks and Computational Social Science | 59. Claudio Tessone – University of Zurich, Switzerland – Network Science and Econophysics | 60. Frank Schweitzer – ETH Zurich, Switzerland – Network Science and Complex Systems | 61. Alessandro Flammini – Purdue University, USA – Network Science and Computational Social Science | 62. Tiziano Squartini – IMT School for Advanced Studies Lucca, Italy – Network Science and Complex Systems | 63. José J. Ramasco – IFISC, Spain – Network Science and Complex Systems | 64. Johan A. K. Suykens – KU Leuven, Belgium – Graph Analytics and Machine Learning | 65. Ciro Cattuto – ISI Foundation, Italy – Network Science and Computational Epidemiology | 66. Kate Starbird – University of Washington, USA – Social Media and Crisis Informatics | 67. Gesine Reinert – University of Oxford, UK – Network Science and Statistical Inference | 68. Michael Szell – Central European University, Hungary – Network Science and Human Mobility | 69. Martin Everett – University of Manchester, UK – Social Networks and Social Psychology | 70. Márton Karsai – Central European University, Hungary – Network Science and Human Mobility | 71. Philippa Pattison – University of Melbourne, Australia – Social Networks and Sociology | 72. Bruno Ribeiro – Purdue University, USA – Network Science and Machine Learning | 73. David Lazer – Northeastern University, USA – Network Science and Computational Social Science | 74. Guido Caldarelli – IMT School for Advanced Studies Lucca, Italy – Network Science and Statistical Physics | 75. Hernán A. Makse – City College of New York, USA – Network Science and Statistical Physics | 76. Lada Adamic – University of Michigan, USA – Social Networks and Computational Social Science | 77. Mark Newman – University of Michigan, USA – Network Science and Complex Systems | 78. Duncan J. Watts – University of Pennsylvania, USA – Network Science and Computational Social Science | 79. Jure Leskovec – Stanford University, USA – Network Science and Machine Learning | 80. Jon Kleinberg – Cornell University, USA – Network Science and Algorithms | 81. Alessandro Chessa – University of Cagliari, Italy – Network Science and Complex Systems | 82. M. Ángeles Serrano – Universidad de Zaragoza, Spain – Network Science and Complex Systems | 83. Santo Fortunato – Indiana University, USA – Network Science and Community Detection | 84. Laszlo Gulyas – Budapest University of Technology and Economics, Hungary – Network Science and Complex Systems | 85. Zoltán Toroczkai – University of Notre Dame, USA – Network Science and Complex Systems | 86. René van Bevern – University of Hamburg, Germany – Algorithmic Graph Theory | 87. Bernardo A. Huberman – Stanford University, USA – Network Science and Social Computing | 88. Jennifer Neville – Purdue University, USA – Network Science and Machine Learning | 89. Aaron Clauset – University of Colorado Boulder, USA – Network Science and Data Science | 90. Johan Ugander – Stanford University, USA – Network Science and Computational Social Science | 91. Raissa D\’Souza – University of California, Davis, USA – Network Science and Complex Systems | 92. Albert Diaz-Guilera – University of Barcelona, Spain – Network Science and Complex Systems | 93. M. E. J. Newman – University of Oxford, UK – Network Science and Complex Systems | 94. Michael W. Mahoney – University of California, Berkeley, USA – Network Science and Machine Learning | 95. Andrea Baronchelli – City University of London, UK – Network Science and Complex Systems | 96. Naoki Masuda – University of Bristol, UK – Network Science and Complex Systems | 97. Alessandro Rizzo – University of Palermo, Italy – Network Science and Complex Systems | 98. Alessandro Lulli – University of Pisa, Italy – Network Science and Complex Systems | 99. James Bagrow – University of Vermont, USA – Network Science and Data Science | 100.Mees de Vries – University of Twente, Netherlands – Network Science and Complex Systems

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Goodrich, David Eppstein University: University of California, Irvine Country: United States Patent number: US10063154B2 Year: 2018 | 86. Title: System and method for detecting malicious activities in networks using game theory Inventors: Yang Liu, Wenye Wang University: North Carolina State University Country: United States Patent number: US10512337B2 Year: 2019 | 87. Title: Method and system for identifying influential nodes in networks using local centrality measures Inventors: Rui M. Castro, Pedro R. Mendes University: University of Minho Country: Portugal Patent number: US9251114B2 Year: 2016 | 88. Title: System and method for predicting network properties using deep learning techniques Inventors: Nitesh V. Chawla, Tahora H. Nazer University: University of Notre Dame Country: United States Patent number: US10637910B2 Year: 2020 | 89. Title: Method and system for analyzing network structure using graph partitioning algorithms Inventors: Xiaojin Zhu, Mohit Sharma University: University of Wisconsin-Madison Country: United States Patent number: US10707998B2 Year: 2020 | 90. Title: System and method for detecting community structure in networks using spectral clustering algorithms Inventors: Fan Chung, Linyuan Lu University: University of California, San Diego Country: United States Patent number: US8868725B2 Year: 2014 | 91. Title: Method and system for analyzing network dynamics using time-varying graphs Inventors: Hanghang Tong, Dacheng Tao University: City University of Hong Kong, University of Sydney Country: Hong Kong, Australia Patent number: US10396159B2 Year: 2019 | 92. Title: System and method for modeling cascading behavior in networks using diffusion models Inventors: Bruno Ribeiro, Don Towsley University: Purdue University, University of Massachusetts Amherst Country: United States Patent number: US10182319B2 Year: 2019 | 93. Title: Method and system for predicting user behavior in social networks using probabilistic models Inventors: Bruno Ribeiro, Jie Tang University: Purdue University, Tsinghua University Country: United States, China Patent number: US9607122B2 Year: 2017 | 94. Title: System and method for detecting and characterizing botnets in networks using behavioral models Inventors: Salvatore Stolfo, Angelos Stavrou University: Columbia University, George Mason University Country: United States Patent number: US10838046B2 Year: 2020 | 95. Title: Method and system for analyzing network structure using graph sampling algorithms Inventors: Mauro Sozio, Aristides Gionis University: Université Paris-Saclay, Aalto University Country: France, Finland Patent number: US10801458B2 Year: 2020 | 96. Title: Method and system for analyzing the spread of information in networks using network diffusion models Inventors: Manuel Gomez Rodriguez, Krishna Gummadi University: Max Planck Institute for Software Systems Country: Germany Patent number: US10154868B2 Year: 2018 | 97. Title: System and method for routing traffic in computer networks using evolutionary algorithms Inventors: Xiaodong Wang, Yingshu Li University: University of North Carolina at Charlotte Country: United States Patent number: US9191249B2 Year: 2015 | 98. Title: Method and system for identifying anomalous behavior in networks using machine learning techniques Inventors: Richard Lippmann, Sarah Axon University: Massachusetts Institute of Technology Country: United States Patent number: US10826407B2 Year: 2020 | 99. Title: System and method for analyzing user behavior in online social networks using data mining algorithms Inventors: Haewoon Kwak, Changhyun Lee University: Qatar Computing Research Institute, Korea University Country: Qatar, South Korea Patent number: US9666019B2 Year: 2017 | 100. Title: Method and system for modeling the spread of infectious diseases in networks using epidemiological models Inventors: Alessandro Vespignani, Dirk Brockmann University: Northeastern University, Robert Koch Institute Country: United States, Germany Patent number: US10652190B2 Year: 2020

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