Description: Algorithms and Dynamical Models for Communities and Reputation in Social Networks, Paperback by Traag, Vincent, ISBN 3319360620, ISBN-13 9783319360621, Like New Used, Free shipping in the US 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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Book Title: Algorithms and Dynamical Models for Communities and Reputation in
Number of Pages: Xiv, 229 Pages
Publication Name: Algorithms and Dynamical Models for Communities and Reputation in Social Networks
Language: English
Publisher: Springer International Publishing A&G
Item Height: 0.5 in
Publication Year: 2016
Subject: Game Theory, Web / Social Media, Sociology / General, Databases / Data Mining, Discrete Mathematics
Item Weight: 132.3 Oz
Type: Textbook
Item Length: 9.2 in
Author: Vincent Traag
Subject Area: Mathematics, Computers, Social Science
Series: Springer Theses Ser.
Item Width: 6.1 in
Format: Trade Paperback
