Title
Trust Hole Identification in Signed Networks.
Abstract
In the trust-centric context of signed networks, the social links among users are associated with specific polarities to denote the attitudes trust vs distrust among the users. Different from traditional unsigned social networks, the diffusion of information in signed networks can be affected by the link polarities and users' positions significantly. In this paper, a new concept called \"trust hole\" is introduced to characterize the advantages of specific users' positions in signed networks. To uncover the trust holes, a novel trust hole detection framework named \"Social Community based tRust hOLe expLoration\" Scroll is proposed in this paper. Framework Scroll is based on the signed community detection technique. By removing the potential trust hole candidates, Scroll aims at maximizing the community detection cost drop to identify the optimal set of trust holes. Extensive experiments have been done on real-world signed network datasets to show the effectiveness of Scroll.
Year
DOI
Venue
2016
10.1007/978-3-319-46128-1_44
ECML/PKDD
Field
DocType
Citations 
Scroll,Internet privacy,Social network,Social community,Computer science,Distrust
Conference
3
PageRank 
References 
Authors
0.39
11
5
Name
Order
Citations
PageRank
Jiawei Zhang180672.17
Qianyi Zhan2142.28
Lifang He336932.74
Charu C. Aggarwal49081636.68
Philip S. Yu5306703474.16