Algorithms and Dynamical Models for Communities and Reputation in Social Networks - Info and Reading Options
By Vincent Traag
"Algorithms and Dynamical Models for Communities and Reputation in Social Networks" is published by Springer in May 28, 2014, the book is classified in Science genre, it has 229 pages and the language of the book is English.
“Algorithms and Dynamical Models for Communities and Reputation in Social Networks” Metadata:
- Title: ➤ Algorithms and Dynamical Models for Communities and Reputation in Social Networks
- Author: Vincent Traag
- Language: English
- Number of Pages: 229
- Is Family Friendly: Yes - No Mature Content
- Publisher: Springer
- Publish Date: May 28, 2014
- Genres: Science
“Algorithms and Dynamical Models for Communities and Reputation in Social Networks” Subjects and Themes:
- Subjects: ➤ Online social networks - Data mining - Physics - Mathematics - Complex Networks - Game Theory, Economics, Social and Behav. Sciences - Economic Sociology Organizational Studies - Mathematics in the Humanities and Social Sciences
Edition Specifications:
- Format: hardcover
Edition Identifiers:
- Google Books ID: udQFoQEACAAJ
- The Open Library ID: OL28014985M - OL20716803W
- ISBN-13: 9783319063904
- ISBN-10: 3319063901
- All ISBNs: 3319063901 - 9783319063904
AI-generated Review of “Algorithms and Dynamical Models for Communities and Reputation in Social Networks”:
Snippets and Summary:
A persistent problem when finding communities in large complex networks is the so-called resolution limit.
"Algorithms and Dynamical Models for Communities and Reputation in Social Networks" Description:
Google Books:
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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