Algorithms and Dynamical Models for Communities and Reputation in Social Networks by Vincent TraagAlgorithms and Dynamical Models for Communities and Reputation in Social Networks by Vincent Traag

Algorithms and Dynamical Models for Communities and Reputation in Social Networks

byVincent Traag

Hardcover | June 13, 2014

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A persistent problem when finding communities in large complex networks is the so-called resolution limit. This thesis addresses this issue meticulously, and introduces the important notion of resolution-limit-free. Remarkably, only few methods possess this desirable property, and this thesis puts forward one such method. Moreover, it discusses how to assess whether communities can occur by chance or not. One aspect that is often ignored in this field is treated here: links can also be negative, as in war or conflict. Besides how to incorporate this in community detection, it also examines the dynamics of such negative links, inspired by a sociological theory known as social balance. This has intriguing connections to the evolution of cooperation, suggesting that for cooperation to emerge, groups often split in two opposing factions. In addition to these theoretical contributions, the thesis also contains an empirical analysis of the effect of trading communities on international conflict, and how communities form in a citation network with positive and negative links.
After having obtained a (cum laude) Masters in sociology from the University of Amsterdam, Vincent Traag turned to the Université catholique de Louvain in Belgium, where he obtained his Ph.D. in applied mathematics, under the supervision of Paul Van Dooren and Yurii Nesterov. Trying to combine sociology and mathematics, Traag performed...
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Title:Algorithms and Dynamical Models for Communities and Reputation in Social NetworksFormat:HardcoverDimensions:229 pagesPublished:June 13, 2014Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319063901

ISBN - 13:9783319063904

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Table of Contents

Introduction.- Part I Communities in Networks.- Community Detection.- Scale Invariant Community Detection.- Finding Significant Resolutions.- Modularity with Negative Links.- Applications.- Part II Social Balance & Reputation.- Social Balance.- Models of Social Balance.- Evolution of Cooperation.- Ranking Nodes Using Reputation.