Algorithms and Dynamical Models for Communities and Reputation in Social Networks - Couverture souple
Synopsis
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.
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À propos de l'auteur
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 extensive research in complex networks, with a particular focus on communities and reputation in networks. One particular interest is how conflict and cooperation arise. In his current position Traag is trying to understand how elite networks in Indonesia reflect political events.
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Algorithms and Dynamical Models for Communities and Reputation in Social Networks
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 244 pp. Englisch. N° de réf. du vendeur 9783319360621
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Algorithms and Dynamical Models for Communities and Reputation in Social Networks
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ISBN 10 : 3319360620
ISBN 13 : 9783319360621
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Couverture souple
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Nominated as an Outstanding Ph.D. thesis by Catholic University of Louvain, BelgiumProvides both introductory and advanced material for community detectionUniquely connects social balance to the evolution of cooperationIntegrates bot. N° de réf. du vendeur 448747225
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Taschenbuch. Etat : Neu. Algorithms and Dynamical Models for Communities and Reputation in Social Networks | Vincent Traag | Taschenbuch | Springer Theses | xiv | Englisch | 2016 | Springer | EAN 9783319360621 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 103315015
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Algorithms and Dynamical Models for Communities and Reputation in Social Networks
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ISBN 10 : 3319360620
ISBN 13 : 9783319360621
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 244 pp. Englisch. N° de réf. du vendeur 9783319360621
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Algorithms and Dynamical Models for Communities and Reputation in Social Networks
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Springer International Publishing, 2016
ISBN 10 : 3319360620
ISBN 13 : 9783319360621
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783319360621
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