An Experimental Study of Homophily in the Adoption of Health Behavior

By Damon Centola. Science, 2011

654 citations recorded by the source corpus.

Subfields: Applied Psychology, Marketing, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/56141eb24b7c7da28145cec09c4b9e47578d07de

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Citations in the corpus

Digital Footprints: Opportunities and Challenges for Online Social Research (2014, positive): “Adoption was also greater in the homophilous condition (Centola 2011) than in the random condition, with no variation in network structure.”
Mother, baby and Facebook makes three: does social media provide social support for new mothers? (2018, background): “Centola (2011) also highlights potential benefits, noting that homophily in social networks increases the likelihood of participants adopting new health behaviours.”
Dynamics of information diffusion and its applications on complex networks (2016, positive): “Online experiments of the behavior spreading reveal the social influence effect [66,108], leading to the different realizations from the simple spreading process assumption, such as news spreading.”
Social Media Metrics — A Framework and Guidelines for Managing Social Media (2013, positive): “Other studies show the positive effect of network structure (i.e., higher closure coefficients and more redundant ties) and homophily (i.e., similar neighbors in the network) on behavior diffusion (i.e., in our framework social interactions; Centola 2010, 2011 ).”
Increasing Vaccination: Putting Psychological Science Into Action (2017, positive): “A similar study demonstrated that homophily increases adoption of the new health behavior (Centola, 2011).”
Characterizing the 2016 Russian IRA influence campaign (2018, neutral): “These effects are documented by several studies Bessi and Ferrara (2016); Conover et al. (2011a); El-Khalili (2013); Ferrara (2017); Fourney et al. (2017); Ratkiewicz et al. (2011a); Shorey and Howard (2016); Woolley and Howard (2016).”
Virality Prediction and Community Structure in Social Networks (2013, positive): “The adoption of memes within communities may also be affected by homophily, according to which social relationships are more likely to form between similar people [39, 40].”
The Economic Consequences of Social Network Structure (2017, neutral): “In fact, many network data sets include multiple sorts of relationships (e.g., Banerjee, Chandrasekhar, Duflo, and Jackson (2013)), which encode richer information than simply identifying whether two people are close or not.”