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Colloquium Details

Analysis of Social Effects to Human Behavior Modeling in Health Social Network

Author:Hai Phan, Research Associate University of Oregon
Date:January 22, 2015
Time:15:30
Location:220 Deschutes

Abstract

Overweight and obesity are major risk factors for a number of chronic diseases, including diabetes, cardiovascular diseases, and cancers. Recent studies have shown obesity can spread over the social network, bearing similarity to the diffusion of innovation and word of mouth effects in marketing. To reduce the risk of obesity related diseases, regular exercise is strongly recommended.

However, there has been few scientific and quantitative study to elucidate how social relationships and personal factors may contribute to: 1) macro-level human behaviors, and 2) help spreading healthy behavior in a social network. This talk mainly discusses our key findings on understanding social effects to modeling and spreading human behaviors in health social networks.

Biography

Hai Phan currently is a Research Associate at the CIS Department, University of Oregon. Prior to joining the University of Oregon, he earned his PhD degree in the University of Montpellier 2, France on October 2013. His interests mainly focus on Data Mining and Machine learning especially for social network analysis and spatio-temporal data. He has successfully implemented many systems in different domains such as health sciences, time series, social media, bio-informatics, etc. His research results have been published at various top tier conferences and journals such at CIKM, SDM, ACM Multimedia, ACM GIS, ECML-PKDD, PAKDD, ISI, IJITDM, etc.