A Survey of Signed Network Mining in 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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Aug 17, 2016
- Source ID
- 10.1145/2956185
Entities
People
- Charu Aggarwal
- Huan Liu
- Jiliang Tang
- Yi Chang
Organizations
- Arizona State University
- Army Research Office
- International Business Machines Corporation (Armonk, NY)
- Jerry and David's guide to the World Wide Web
- Michigan State University
- Office of Naval Research
- United States Army Research Laboratory