Understanding Health Behavior Using Social Network Analysis
Health of a person plays a vital role in the collective
health of his community and hence the well-being of the society as a
whole. But, in today’s fast paced technology driven world, health
issues are increasingly being associated with human behaviors – their
lifestyle. Social networks have tremendous impact on the health
behavior of individuals. Many researchers have used social network
analysis to understand human behavior that implicates their social
and economic environments. It would be interesting to use a similar
analysis to understand human behaviors that have health
implications. This paper focuses on concepts of those behavioural
analyses that have health implications using social networks analysis
and provides possible algorithmic approaches. The results of these
approaches can be used by the governing authorities for rolling out
health plans, benefits and take preventive measures, while the
pharmaceutical companies can target specific markets, helping health
insurance companies to better model their insurance plans.
[1] Su, W. C. (2014, May). Integrating and mining virtual communities
across multiple Online Social Networks: Concepts, approaches and
challenges. In Digital Information and Communication Technology and
it's Applications (DICTAP), 2014 Fourth International Conference on
(pp. 199-204). IEEE.
[2] G. Cheliotis, "Social network analysis (SNA): including a tutorial on
concepts and methods," National University of Singapore (Nov.1, 2012),
2010.
[3] Karen Glanz, Jay Maddock: Behavior, Health Related – Health Article,
The Gale Group Inc., Macmillan Reference USA, New York, 2002.
[4] Thomas W. Valente, Ph.D.: Social networks can be used to influence
health behavior: study: Medical Press, Science 2012.
[5] David Liben-Novell: An Algorithmic Approach to Social Networks. In:
Department of EE and CS in partial fulfilment of the requirements for
the degree of Doctor of Philosophy in Computer Science at the
Massachusetts Institute of Technology ,June 2005.
[6] Makism Tsvetovat, Alexandar Kouznetsov: Social Network Analysis for
Start-ups, Publish by O’Reilly Media, Inc., 1005 Gravenstein Highway
North, Sebastopol, CA 95472.
[7] Tianyi Wang, Yang Chen, Zengbin Zhang , Tianyin Xu, Long Jin, Pan
Hui, Beixing Deng, Xing Li: Understanding Graph Sampling
Algorithms for Social Network Analysis..
[8] Silvio Lattanzi: Algorithms and models for social networks: Sapienza,
Università di Roma: Dottorato di Ricerca in Computer Science: XXIII
Ciclo – 2010.
[9] Kirsten P. Smith, Nicholas A. Christakis: Social Networks and Health:
Annu. Rev. Sociol. 2008. 34:405–29.
[10] Li, Charlene, and Bernoff, Josh. “Groundswell: Winning in a World
Transformed by Social Technologies,” 2008.
[11] David, S Gochman: “Health Behavior: emerging research perspective”,
Springer Science & Business Media Newyork, 1998.
[1] Su, W. C. (2014, May). Integrating and mining virtual communities
across multiple Online Social Networks: Concepts, approaches and
challenges. In Digital Information and Communication Technology and
it's Applications (DICTAP), 2014 Fourth International Conference on
(pp. 199-204). IEEE.
[2] G. Cheliotis, "Social network analysis (SNA): including a tutorial on
concepts and methods," National University of Singapore (Nov.1, 2012),
2010.
[3] Karen Glanz, Jay Maddock: Behavior, Health Related – Health Article,
The Gale Group Inc., Macmillan Reference USA, New York, 2002.
[4] Thomas W. Valente, Ph.D.: Social networks can be used to influence
health behavior: study: Medical Press, Science 2012.
[5] David Liben-Novell: An Algorithmic Approach to Social Networks. In:
Department of EE and CS in partial fulfilment of the requirements for
the degree of Doctor of Philosophy in Computer Science at the
Massachusetts Institute of Technology ,June 2005.
[6] Makism Tsvetovat, Alexandar Kouznetsov: Social Network Analysis for
Start-ups, Publish by O’Reilly Media, Inc., 1005 Gravenstein Highway
North, Sebastopol, CA 95472.
[7] Tianyi Wang, Yang Chen, Zengbin Zhang , Tianyin Xu, Long Jin, Pan
Hui, Beixing Deng, Xing Li: Understanding Graph Sampling
Algorithms for Social Network Analysis..
[8] Silvio Lattanzi: Algorithms and models for social networks: Sapienza,
Università di Roma: Dottorato di Ricerca in Computer Science: XXIII
Ciclo – 2010.
[9] Kirsten P. Smith, Nicholas A. Christakis: Social Networks and Health:
Annu. Rev. Sociol. 2008. 34:405–29.
[10] Li, Charlene, and Bernoff, Josh. “Groundswell: Winning in a World
Transformed by Social Technologies,” 2008.
[11] David, S Gochman: “Health Behavior: emerging research perspective”,
Springer Science & Business Media Newyork, 1998.
@article{"International Journal of Information, Control and Computer Sciences:71092", author = "Namrata Mishra", title = "Understanding Health Behavior Using Social Network Analysis", abstract = "Health of a person plays a vital role in the collective
health of his community and hence the well-being of the society as a
whole. But, in today’s fast paced technology driven world, health
issues are increasingly being associated with human behaviors – their
lifestyle. Social networks have tremendous impact on the health
behavior of individuals. Many researchers have used social network
analysis to understand human behavior that implicates their social
and economic environments. It would be interesting to use a similar
analysis to understand human behaviors that have health
implications. This paper focuses on concepts of those behavioural
analyses that have health implications using social networks analysis
and provides possible algorithmic approaches. The results of these
approaches can be used by the governing authorities for rolling out
health plans, benefits and take preventive measures, while the
pharmaceutical companies can target specific markets, helping health
insurance companies to better model their insurance plans.", keywords = "Health behaviors, social network analysis, directed
graph, breadth first search.", volume = "9", number = "7", pages = "1759-4", }