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Algorithms and Dynamical Models for Communities and Reputation in Social Networks



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Éditeur :

Springer


Collection :

Springer Theses

Paru le : 2014-05-28



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Description
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.
Pages
229 pages
Collection
Springer Theses
Parution
2014-05-28
Marque
Springer
EAN papier
9783319063904
EAN EPUB
9783319063911
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
4598 Ko
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Prix
94,94 €

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