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      Age-structured social interactions enhance radicalization

      1 , 2 , 1 , 3 , 1 , 2
      The Journal of Mathematical Sociology
      Informa UK Limited

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          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.
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            On the use of matrices in certain population mathematics.

            P. LESLIE (1945)
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              Understanding Terror Networks

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                Author and article information

                Journal
                The Journal of Mathematical Sociology
                The Journal of Mathematical Sociology
                Informa UK Limited
                0022-250X
                1545-5874
                March 26 2018
                July 03 2018
                March 26 2018
                July 03 2018
                : 42
                : 3
                : 128-151
                Affiliations
                [1 ] Department of Biomathematics, UCLA, Los Angeles, CA, USA
                [2 ] Department of Mathematics, CSUN, Los Angeles, CA, USA
                [3 ] Department of Mathematics, UCLA, Los Angeles, CA, USA
                Article
                10.1080/0022250X.2018.1448975
                4d5d306c-66db-4dbe-b3fa-8152c81808ee
                © 2018
                History

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