NBCD: Neighborhood based Community Detection in Dynamic Social Networks

被引：0

作者：

Jagadishwari, V ^{[1
]}

Umadevi, V ^{[2
]}

机构：

[1] BMS Coll Engn, Dept Comp Sci & Engn, VTU, Bengaluru, India

[2] BMS Coll Engn, Dept Comp Sci & Engn, Bengaluru, India

来源：

PROCEEDINGS OF THE 2018 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICICCS) | 2018年

关键词：

Dynamic Social Networks; Community detection;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Social Networks are intrinsically dynamic in nature. The community structures of these networks changes over time. We have proposed a novel community detection algorithm which considers the changes in the neighborhood of a node over time and then decides if a change in community of the node is required. If a change is required it realigns the community membership based on its current neighborhood. We have also shown that our algorithm performs better as compared to the baseline methods.

引用

页码：586 / 590

页数：5

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