Finite belief fusion model for hidden source behavior change detection

Eugene Santos, Qi Gu, Eunice E. Santos, John Korah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A person's beliefs and attitudes may change multiple times as they gain additional information/perceptions from various external sources, which in turn, may affect their subsequent behavior. Such influential sources, however, are often invisible to the public due to a variety of reasons - private communications, what one randomly reads or hears, and implicit social hierarchies, to name a few. Many efforts have focused on detecting distribution variations. However, the underlying reason for the variation has yet to be fully studied. In this paper, we present a novel approach and algorithm to detect such hidden sources, as well as capture and characterize the patterns of their impact with regards to the belief-changing trend. We formalize this problem as a finite belief fusion model and solve it via an optimization method. Finally, we compare our work with general mixture models, e.g. Gaussian Mixture Model. We present promising preliminary results obtained from proof-of-concept experiments conducted on both synthetic data and a real-world scenario.

Original languageEnglish (US)
Title of host publicationKDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval
Pages17-24
Number of pages8
StatePublished - Dec 1 2012
Externally publishedYes
Event4th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2012 - Barcelona, Spain
Duration: Oct 4 2012Oct 7 2012

Publication series

NameKDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval

Conference

Conference4th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2012
Country/TerritorySpain
CityBarcelona
Period10/4/1210/7/12

Keywords

  • Behaviour change
  • Belief change
  • Finite belief fusion model
  • Hidden source detection

ASJC Scopus subject areas

  • Information Systems

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