Community Detection in Complex Networks: Algorithms and Analysis

被引：1
|
作者：
Jie, Yuan [1 ]
Liu Zhishuai [1 ]
Qiu, Xiaoyu [2 ]
机构：
[1] Minzu Univ China, Sch Informat Engn, Beijing, Peoples R China
[2] Shandong Univ Tradit Chinese Med, Inst Network & Educ Technol, Jinan, Peoples R China
来源：
TRUSTWORTHY COMPUTING AND SERVICES (ISCTCS 2014) | 2015年 / 520卷
关键词：
Community detection; Overlapping community; Scoring functions; Algorithm;
D O I：
10.1007/978-3-662-47401-3_31
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Community structure in networks indicates some meaningful groups or organizations in the real world. Various algorithms to detect community in complex networks were proposed. However, problems about how to judge the goodness and performance of algorithms are still open. This paper reviewed and analyzed the related work and algorithms for community detection, hoping to benefit researchers in related field.
引用
收藏
页码：238 / 244
页数：7
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