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      Tax evasion and social reputation: The role of influencers in a social network

      1 , 1
      Metroeconomica
      Wiley

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          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.
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            Incentives and Prosocial Behavior

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              Naïve Learning in Social Networks and the Wisdom of Crowds

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                Author and article information

                Journal
                Metroeconomica
                Metroeconomica
                Wiley
                0026-1386
                1467-999X
                November 2022
                April 25 2022
                November 2022
                : 73
                : 4
                : 1048-1069
                Affiliations
                [1 ]Sapienza University of Rome Rome Italy
                Article
                10.1111/meca.12391
                3172f17a-1a3c-42c9-97b1-e99e41186271
                © 2022

                http://creativecommons.org/licenses/by-nc-nd/4.0/

                http://doi.wiley.com/10.1002/tdm_license_1.1

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