Triad-based Role Discovery for Large Social Systems

TitleTriad-based Role Discovery for Large Social Systems
Publication TypeBook Chapter
Year of Publication2014
AuthorsDerek Doran
EditorLuca Maria-Aiello, Daniel McFarland
Book TitleSocial Informatics: SocInfo 2014 International Workshops
Volume8852
Edition1
ChapterTriad-based Role Discovery for Large Social Systems
Pagination130-143
PublisherSpringer International Publishing
KeywordsNetwork analytics, Social Network Analysis, Social Roles
Abstract

The social role of a participant in a social system conceptualizes the circumstances under which she chooses to interact with others, making their discovery and analysis important for theoretical and practical purposes. In this paper, we propose a methodology to detect such roles by utilizing the conditional triad censuses of ego-networks. These censuses are a promising tool for social role extraction because they capture the degree to which basic social forces push upon a user to interact with others in a system. Clusters of triad censuses, inferred from network samples that preserve local structural properties, define the social roles. The approach is demonstrated on two large online interaction networks.

Related Files: