Document Type
Conference Proceeding
Publication Date
11-10-2014
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.
Repository Citation
Doran, D.
(2014). Triad-Based Role Discovery for Large Social Systems. .
https://corescholar.libraries.wright.edu/knoesis/1043
Included in
Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, Science and Technology Studies Commons
Comments
Presented at the First Workshop on Interaction and Exchange in Social Media, Barcelona, Spain, November 10, 2014.