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Algorithms and Dynamical Models for Communities and Reputation in Social Networks (Springer Theses) - Hardcover
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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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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- PublisherSpringer
- Publication date2014
- ISBN 10 3319063901
- ISBN 13 9783319063904
- BindingHardcover
- Number of pages243
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Algorithms and Dynamical Models for Communities and Reputation in Social Networks: Doctoral Thesis Accepted by the Catholic University of Louvain, Belgium
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Algorithms and Dynamical Models for Communities and Reputation in Social Networks
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Book Description Buch. Condition: 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. Seller Inventory # 9783319063904
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Book Description Condition: New. pp. xiv + 229 40 Illus. (19 Col.). Seller Inventory # 135090426
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Algorithms and Dynamical Models for Communities and Reputation in Social Networks
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Book Description Gebunden. Condition: 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. Seller Inventory # 4497560
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Algorithms and Dynamical Models for Communities and Reputation in Social Networks
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Book Description Buch. Condition: 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. Seller Inventory # 9783319063904
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