File(s) under permanent embargo
Uncovering attribute-driven active intimate communities
conference contribution
posted on 2018-01-01, 00:00 authored by Md Musfique Anwar, Chengfei Liu, Jianxin LiJianxin LiMost existing studies in community detection either focus on the common attributes of the nodes (users) or rely on only the topological links of the social network graph. However, the bulk of literature ignores the interaction strength among the users in the retrieved communities. As a result, many members of the detected communities do not interact frequently to each other. This inactivity will create problem for online advertisers as they require the community to be highly interactive to efficiently diffuse marketing information. In this paper, we study the problem of detecting attribute-driven active intimate community, that is, for a given input query consisting a set of attributes, we want to find densely-connected communities in which community members actively participate as well as have strong interaction (intimacy) with respect to the given query attributes. We design a novel attribute relevance intimacy score function for the detected communities and establish its desirable properties. To this end, we use an indexed based solution to efficiently discover active intimate communities. Extensive experiments on real data sets show the effectiveness and performance of our proposed method.
History
Event
Database Systems. Conference (2018 : Gold Coast, Qld.)Volume
10837Series
Database Systems ConferencePagination
109 - 122Publisher
SpringerLocation
Gold Coast, Qld.Place of publication
Cham, SwitzerlandPublisher DOI
Start date
2018-05-23End date
2018-05-25ISBN-13
978-3-319-92013-9Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2018, Springer International Publishing AG, part of Springer NatureEditor/Contributor(s)
J Wang, G Cong, J Chen, J QiTitle of proceedings
ADC 2018 : Proceedings of the Australasian Database ConferenceUsage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC