Finite Belief Fusion Model for Hidden Source Behavior Change Detection

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

2012

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.

Paper Citation

in Harvard Style

Santos Jr. E., Gu Q., E. Santos E. and Korah J. (2012). Finite Belief Fusion Model for Hidden Source Behavior Change Detection . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012) ISBN 978-989-8565-29-7, pages 17-24. DOI: 10.5220/0004130100170024

in Bibtex Style

@conference{kdir12,
author={Eugene Santos Jr. and Qi Gu and Eunice E. Santos and John Korah},
title={Finite Belief Fusion Model for Hidden Source Behavior Change Detection},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)},
year={2012},
pages={17-24},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004130100170024},
isbn={978-989-8565-29-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)
TI - Finite Belief Fusion Model for Hidden Source Behavior Change Detection
SN - 978-989-8565-29-7
AU - Santos Jr. E.
AU - Gu Q.
AU - E. Santos E.
AU - Korah J.
PY - 2012
SP - 17
EP - 24
DO - 10.5220/0004130100170024