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Author Tang, Jiliang ♦ Chang, Yi ♦ Aggarwal, Charu ♦ Liu, Huan
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2016
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Negative links ♦ Signed network mining ♦ Signed networks ♦ Social media
Abstract Many real-world relations can be represented by signed networks with positive and negative links, as a result of which signed network analysis has attracted increasing attention from multiple disciplines. With the increasing prevalence of social media networks, signed network analysis has evolved from developing and measuring theories to mining tasks. In this article, we present a review of mining signed networks in the context of social media and discuss some promising research directions and new frontiers. We begin by giving basic concepts and unique properties and principles of signed networks. Then we classify and review tasks of signed network mining with representative algorithms. We also delineate some tasks that have not been extensively studied with formal definitions and also propose research directions to expand the field of signed network mining.
Description Author Affiliation: Michigan State University, East Lansing, MI (Tang, Jiliang); IBM T.J. Watson Research Center, Yorktown, NY (Aggarwal, Charu); Arizona State University, Tempe, AZ (Liu, Huan); Yahoo Research, Sunnyvalue, CA (Chang, Yi)
ISSN 03600300
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2016-08-01
Publisher Place New York
e-ISSN 15577341
Journal ACM Computing Surveys (CSUR)
Volume Number 49
Issue Number 3
Page Count 37
Starting Page 1
Ending Page 37

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Source: ACM Digital Library