Invited talk by Professor Ravi Vatrapu on Social Set Analysis: A Set-Theoretical Approach to Computational Social Science
Current research projects at the Computational Social Science Laboratory (http://cssl.cbs.dk), Copenhagen Business School are addressing an academic research gap and real-world industry need to describe, model, analyse and explain large-scale interactions on organisations’ social media channels as individuals' associations to ideas, values, identities etc. Towards this end, we are developing and evaluating a set-theoretical approach to big data analytics termed “Social Set Analysis” (SSA). Social Set Analysis consists of three primary research activities:
(a) theorising, modelling, and collecting big social data about organisations (e.g., Danish Cancer Society’s official Facebook page);
(b) combining those big social data sets with in-house organisational data sets (e.g., Customer Relationship Management systems); and finally
(c) analysing the combined datasets by applying set theoretical methods and tools (crisp sets, fuzzy sets, rough sets, random sets and Bayesian sets). This talk will outline the SSA approach, report selected empirical findings, discuss implications and limitations, identify challenges and sketch future research directions.