An Approach Based on Network Science to Detect Communities in Social Networks

被引：0

作者：

Lima, Victor C. F. ^{[1
]}

Bastos-Filho, Carmelo J. A. ^{[1
]}

机构：

[1] Univ Pernambuco, Polytech Sch Pernambuco, Recife, PE, Brazil

来源：

2016 IEEE LATIN AMERICAN CONFERENCE ON COMPUTATIONAL INTELLIGENCE (LA-CCI) | 2016年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Several studies have been developed over the years in the areas of Text Mining, Social Network Analysis and Detection of Communities. In this paper, we present a new technique for community detection in social networking using the conversation of users in a social network. We showed that the proposal performed very well for a specific theme for defining a community and performed well for joint themes. We believe this can be used in many areas, such as in advertisement.

引用

页数：6

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