Topic-Aware Physical Activity Propagation in a Health Social Network

Nhathai Phan, Javid Ebrahimi, Dave Kil, Brigitte Piniewski, Dejing Dou

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Modeling physical activity propagation, such as physical exercise level and intensity, is the key to preventing the conduct that can lead to obesity and to spreading wellness and healthy behavior in a social network. The authors introduce a model for Topic-aware Community-level Physical Activity Propagation (TaCPP) to analyze physical activity propagation and social influence at different granularities. Given a social network, the TaCPP model first integrates the correlations between the content of social communication and social influences and then uses a hierarchical approach to detect a set of communities and their reciprocal influence strength. The authors' experimental evaluation shows not only the effectiveness of their approach but also the correlation of the detected communities with various health outcome measures.

Original languageEnglish (US)
Article number7325206
Pages (from-to)5-14
Number of pages10
JournalIEEE Intelligent Systems
Volume31
Issue number1
DOIs
StatePublished - Jan 1 2016
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Artificial Intelligence

Keywords

  • Behavioral science
  • Clustering algorithms
  • Complexity theory
  • Integrated circuit modeling
  • Intelligent systems
  • Mathematical model
  • Medical services
  • Social network services

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