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    network analysis

    Explore "network analysis" with insightful episodes like "Tudor Networks of Power", "ENCHPOPGOS Conference 2017. Eduard Alvarez-Palau, Oliver Dunn and Xuesheng You, Overview of the transport project", "Cabinet Co-sponsorship Networks in Brazil" and "Computational Perspectives on the Structure and Information Flows in Online Networks" from podcasts like ""Cambridge Language Sciences", "ENCHPOPGOS Conference 2017. Eduard Alvarez-Palau, Oliver Dunn and Xuesheng You, Overview of the transport project", "Coalitional Presidentialism in Comparative Perspective" and "Oxford Internet Institute"" and more!

    Episodes (4)

    ENCHPOPGOS Conference 2017. Eduard Alvarez-Palau, Oliver Dunn and Xuesheng You, Overview of the transport project

    ENCHPOPGOS Conference 2017.  Eduard Alvarez-Palau, Oliver Dunn and Xuesheng You, Overview of the transport project
    This presentation, by Dr Eduard alvarez, Dr Oliver Dunn (Cambridge Group for the History of Population and Social Structure), Dr Xuesheng You ((Cambridge Group for the History of Population and Social Structure) ) and Dr Eduard Alvarez-Palau (and Open University of Barcelona) was given at the inaugural conference of the European Network for the Comparative History of Population Geography and Occupational Structure (ENCHPOPGOS held at Robinson College, Cambridge in September 2017.

    Computational Perspectives on the Structure and Information Flows in Online Networks

    Computational Perspectives on the Structure and Information Flows in Online Networks
    An increasing amount of social interaction is taking place online: analyzing this data computationally offers enormous potential to address long-standing scientific questions, and to harness and inform the design of future social computing applications. With an increasing amount of social interaction taking place online, we are accumulating large amounts of data about phenomena that were once essentially invisible to us: the collective behaviour and social interactions of hundreds of millions of people. Analyzing this data computationally offers enormous potential to address both long-standing scientific questions, and to harness and inform the design of future social computing applications. In this talk, Jure discusses how the computational perspective can be applied to questions involving the structure of online networks and the dynamics of information that flow through such networks.