Community analysis in social networks

被引：170

作者：

Arenas, A

Danon, L

Díaz-Guilera, A

Gleiser, PM

Guimerà, R

机构：

[1] Univ Rovira & Virgili, Dept Engn Informat & Matemat, Tarragona 43006, Spain

[2] Univ Barcelona, Dept Fis Fonamental, E-08028 Barcelona, Spain

[3] Northwestern Univ, Dept Chem Engn, Evanston, IL 60208 USA

来源：

EUROPEAN PHYSICAL JOURNAL B | 2004年 / 38卷 / 02期

关键词：

Social Network; Community Structure; Empirical Study; Community Analysis; Community Size;

D O I：

10.1140/epjb/e2004-00130-1

中图分类号：

O469 [凝聚态物理学];

学科分类号：

070205 ;

摘要：

We present an empirical study of different social networks obtained from digital repositories. Our analysis reveals the community structure and provides a useful visualising technique. We investigate the scaling properties of the community size distribution, and find that all the networks exhibit power law scaling in the community size distributions with exponent either -0.5 or -1. Finally we find that the networks' community structure is topologically self-similar using the Horton-Strahler index.

引用

页码：373 / 380

页数：8

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