Network Theory

Network theory is the study of complex interacting systems that can be represented as graphs equipped with extra structure.” (Baez n.d.)

Related Publications:

  • [WebSci2009] Mihail, Milena, Mihail, Milena, Young, Stephen - KERNEL MODELS FOR COMPLEX NETWORKS.
  • [WebSci2009] Zhang, Lei, Tu, Wanqing - Six Degrees of Separation in Online Society.
  • [WebSci2014] Scott A. Hale, Taha Yasseri, Josh Cowls, Eric T. Meyer, Ralph Schroeder, Helen Margetts - Mapping the UK webspace: fifteen years of british universities on the web
  • [WebSci2014] Anh Le, Konstantinos Pelechrinis, Prashant Krishnamurthy - Country-level spatial dynamics of user activity: a case study in location-based social networks
  • [WebSci2014] Oliver Lehmberg, Robert Meusel, Christian Bizer - Graph structure in the web: aggregated by pay-level domain
  • [WebSci2014] Albert Solé-Ribalta, Manlio De Domenico, Sergio Gómez, Alex Arenas - Centrality rankings in multiplex networks
  • [WebSci2014] Arun V. Sathanur, Vikram Jandhyala - An activity-based information-theoretic annotation of social graphs
  • [WebSci2014] Yaser Keneshloo, Jose Cadena, Gizem Korkmaz, Naren Ramakrishnan - Detecting and forecasting domestic political crises: a graph-based approach
    [WebSci2012] Hans Akkermans - Web Dynamics as a Random Walk: How and Why Power Laws Occur
  • [WebSci2012] Lars Backstrom, Paolo Boldi, Marco Rosa, Johan Ugander, Sebastiano Vigna - Four Degrees of Separation
  • [WebSci2012] Sanmitra Bhattacharya, Hung Tran, Padmini Srinivasan, Jerry Suls - Belief Surveillance with Twitter
  • [WebSci2012] Kerstin Bischoff - We Love Rock ’n’ Roll: Analyzing and Predicting Friendship Links in Last FM
  • [WebSci2012] Praphul Chandra, Arun Kalyanasundaram - A Network Pruning Based Approach for Subset-Specific Influential Detection
  • [WebSci2012] Mangesh Gupte, Tina Eliassi-Rad - Measuring Tie Strength in Implicit Social Networks
  • [WebSci2012] Malik Magdon-Ismail, Brian Orecchio - Guard Your Connections: Infiltration of a Trust/Reputation Based Network
  • [WebSci2012] Nam P. Nguyen, Guanhua Yan, My T. Thai, Stephan Eidenbenz - Containment of Misinformation Spread in Online Social Networks
  • [WebSci2012] Jerˆ ome Kunegis, Julia Preusse - Fairness on theWeb: Alternatives to the Power Law
  • [WebSci2012] Doris Schioberg, Fabian Schneider, Harald Schioberg, Stefan Schmid, Steve Uhlig, Anja Feldmann - Tracing the Birth of an OSN: Social Graph and Profile Analysis in Google+
  • [WebSci2012] Chun-Yuen Teng, Liuling Gong, Avishay Livne EECS, Celso Brunetti, Lada Adamic - Coevolution of Network Structure and Content
  • [WebSci2012] Jayant Venkatanathan, Evangelos Karapanos, Vassilis Kostakos, Jorge Gonçalves - Network, Personality and Social Capital
  • [WebSci2013] Jerome Kunegis, Marcel Blattner, Christine Moser - Preferential Attachment in Online Networks: Measurement and Explanations
  • [WebSci2013] Derek Greene, Padraig Cunningham - Producing a Unified Graph Representation from Multiple Social
  • [WebSci2013] Ming Gao, Ee-Peng Lim, David Lo - R-energy for Evaluating Robustness of Dynamic Networks
  • [WebSci2013] Yuqing Lu, Lei Zhang, Yudong Xiao, Yangguang Li - Simultaneously Detecting Fake Reviews and Review Spammers using Factor Graph Model
  • [WebSci2013] Hans Akkermans, Rena Bakhshi - Toward a Next Generation of Network Models for the Web
  • [WebSci2013] Sebastien Heymann, Bedicte Le Grand - Towards A Redefinition of Time in Information Networks?
  • [WebSci2010] Thomas, Edward, Pan, Jeff Z, Taylor, Stuart, Ren, Yuan - Lightweight Reasoning, and the Web of Data