51
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found

      Social Networks and Health: New Developments in Diffusion, Online and Offline

      1 , 2
      Annual Review of Sociology
      Annual Reviews

      Read this article at

      ScienceOpenPublisher
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The relationship between social networks and health encompasses everything from the flow of pathogens and information to the diffusion of beliefs and behaviors. This review addresses the vast and multidisciplinary literature that studies social networks as a structural determinant of health. In particular, we report on the current state of knowledge on how social contagion dynamics influence individual and collective health outcomes. We pay specific attention to research that leverages large-scale online data and social network experiments to empirically identify three broad classes of contagion processes: pathogenic diffusion, informational and belief diffusion, and behavioral diffusion. We conclude by identifying the need for more research on (a) how multiple contagions interact within the same social network, (b) how online social networks impact offline health, and (c) the effectiveness of social network interventions for improving population health.

          Related collections

          Most cited references130

          • Record: found
          • Abstract: found
          • Article: not found

          Emergence of Scaling in Random Networks

          Systems as diverse as genetic networks or the World Wide Web are best described as networks with complex topology. A common property of many large networks is that the vertex connectivities follow a scale-free power-law distribution. This feature was found to be a consequence of two generic mechanisms: (i) networks expand continuously by the addition of new vertices, and (ii) new vertices attach preferentially to sites that are already well connected. A model based on these two ingredients reproduces the observed stationary scale-free distributions, which indicates that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
            • Record: found
            • Abstract: not found
            • Article: not found

            Birds of a Feather: Homophily in Social Networks

              • Record: found
              • Abstract: found
              • Article: not found

              The spread of behavior in an online social network experiment.

              How do social networks affect the spread of behavior? A popular hypothesis states that networks with many clustered ties and a high degree of separation will be less effective for behavioral diffusion than networks in which locally redundant ties are rewired to provide shortcuts across the social space. A competing hypothesis argues that when behaviors require social reinforcement, a network with more clustering may be more advantageous, even if the network as a whole has a larger diameter. I investigated the effects of network structure on diffusion by studying the spread of health behavior through artificially structured online communities. Individual adoption was much more likely when participants received social reinforcement from multiple neighbors in the social network. The behavior spread farther and faster across clustered-lattice networks than across corresponding random networks.

                Author and article information

                Journal
                Annual Review of Sociology
                Annu. Rev. Sociol.
                Annual Reviews
                0360-0572
                1545-2115
                July 30 2019
                July 30 2019
                : 45
                : 1
                : 91-109
                Affiliations
                [1 ]Department of Communication, University of California, Davis, California 95616, USA
                [2 ]Annenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA;
                Article
                10.1146/annurev-soc-073117-041421
                93466348-1c00-4557-a605-48e8d4faaaaf
                © 2019
                History

                General life sciences,Immunology,Social & Behavioral Sciences,Health & Social care,Infectious disease & Microbiology,Public health

                Comments

                Comment on this article

                Related Documents Log