Sickness and health: Homophily in online health forums
Chee, Brant
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https://hdl.handle.net/2142/14926
Description
Title
Sickness and health: Homophily in online health forums
Author(s)
Chee, Brant
Issue Date
2010-02-03
Keyword(s)
Sentiment Analysis
Social Networks
Tie Strength Indicator
Homophily
Abstract
This work explores the link between health and social relations by
creating an automated metric of similarity of positive or negative
affect (sentiment) between peers in online health forums. We
analyze textual communication between peers and demonstrate
that those who communicate often have similar average sentiment
scores. Sentiment is the author’s immediate affective state, their
positive or negative orientation. We hypothesize that average
sentiment over time indicates overall happiness or sadness as
similar analysis has been utilized to identify depression and
depression at risk college students. These results follow the
analysis of Framingham study data demonstrating that happy
people tend to associate with one another and that happiness
spreads within social networks.
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