Mining Indirect Antagonistic Communities from Social Interactions

• Main Authors: ZHANG, Kuan, LO, David, LIM, Ee Peng, Prasetyo, Philips Kokoh
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: antagonistic group; frequent pattern mining; closed pattern; social network mining; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/1559; https://ink.library.smu.edu.sg/context/sis_research/article/2558/viewcontent/Mining_Indirect_Antagonistic_Communities_from_Soci.pdf
• Institution: Singapore Management University

Antagonistic communities refer to groups of people with opposite tastes, opinions, and factions within a community. Given a set of interactions among people in a community, we develop a novel pattern mining approach to mine a set of antagonistic communities. In particular, based on a set of user-spe...