Social Set Analysis: Four Demonstrative Case Studies

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


This paper argues that the basic premise of Social Network Analysis (SNA) -- namely that social reality is constituted by dyadic relations and that social interactions are determined by structural properties of networks-- is neither necessary nor sufficient, for Big Social Data analytics of Facebook or Twitter data. However, there exist no other holistic computational social science approach beyond the relational sociology and graph theory of SNA. To address this limitation, this paper presents an alternative holistic approach to Big Social Data analytics called Social Set Analysis (SSA). Based on the sociology of associations and the mathematics of classical, fuzzy and rough set theories, this paper proposes a research program. The function of which is to design, develop and evaluate social set analytics in terms of fundamentally novel formal models, predictive methods and visual analytics tools for Big Social Data. Four demonstrative case studies, employing SSA, covering the range of descriptive, predictive, visual and prescriptive analytics are presented and briefly discussed.

Publication information

Original languageEnglish
Title of host publicationProceedings of the 2015 International Conference on Social Media & Society
EditorsAnatoliy Gruzd, Jenna Jacobson, Philip Mai, Barry Wellman
Number of pages8
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Publication date2015
Article number3
ISBN (Print)9781450339230
StatePublished - 2015
EventThe 6th International Conference on Social Media & Society. SMSociety 2015 - Toronto, Canada
Duration: 27 Jul 201529 Jul 2015
Conference number: 6


ConferenceThe 6th International Conference on Social Media & Society. SMSociety 2015

ID: 43930530