@article{(Open Science Index):https://publications.waset.org/pdf/10002601,
	  title     = {Understanding Health Behavior Using Social Network Analysis},
	  author    = {Namrata Mishra},
	  country	= {},
	  institution	= {},
	  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.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {9},
	  number    = {7},
	  year      = {2015},
	  pages     = {1759 - 1762},
	  ee        = {https://publications.waset.org/pdf/10002601},
	  url   	= {https://publications.waset.org/vol/103},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 103, 2015},