DocumentCode
3730573
Title
SQNR: A System for Querying Nodes and relations in multi-relational social networks
Author
Zidong Zhang; Lihua Zhou; Lizhen Wang; Hongmei Chen; Peizhong Yang
Author_Institution
Department of Computer Science and Engineering, Yunnan University, Kunming, China
fYear
2015
Firstpage
1503
Lastpage
1507
Abstract
Social networks are usually modeled by graphs, where the nodes represent actors, and edges indicate interactions amongst actors. In the real world, social networks are mostly multi-relational, i.e., actors are related through different relationship types, such as friendship, kinship and co-authorship. A multi-relational social network can be represented by multiple single-relational graphs, each reflecting one kind of relation. Acquiring information contained in a multi-relational social network, such as which actors interact frequently in which relationships, can help us to understand the network comprehensively and then offer better services. This paper develops a system (SQNR: A System for Querying Nodes and Relations) to query nodes that interact frequently in the specified relationships and to query relationships in which the specified community patterns (limitations of the community memberships of some actors, such as belong to the same community) can be satisfied. Twelve community patterns can be specified in this paper. The queried results provide new insights about relationships amongst actors.
Keywords
"Social network services","Computer science","Computational modeling","Image edge detection","Periodic structures","Fuzzy systems","Knowledge discovery"
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2015 12th International Conference on
Type
conf
DOI
10.1109/FSKD.2015.7382167
Filename
7382167
Link To Document