Signed Social Networks: Link Prediction and Overlapping Community Detection

被引：3
|
作者：
Shahriari, Mohsen [1 ]
Klamma, Ralf [1 ]
机构：
[1] Rhein Westfal TH Aachen, ACIS, Ahornstr 55, D-52056 Aachen, Germany
来源：
PROCEEDINGS OF THE 2015 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM 2015) | 2015年
关键词：
D O I：
10.1145/2808797.2809357
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we propose a new two-phase approach for finding overlapping communities in signed social networks. Moreover, we evaluate the importance of three node classes: extra, overlapping and intra. Results indicate that the overlapping nodes can competitively predict signs in comparison to intra and extra nodes. Finally, we propose extended frustration as a measure to evaluate errors for fuzzy community detection algorithms in signed social networks.
引用
收藏
页码：1608 / 1609
页数：2
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