At the Crossroads: Lessons and Challenges in Computational Social Science

The interest of physicists in economic and social questions is not new: for over four decades, we have witnessed the emergence of what is called nowadays "sociophysics" and "econophysics", vigorous and challenging areas within the wider "Interdisciplinary Physics". With...

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Main Author: Javier Borge-Holthoefer (auth)
Other Authors: Taha Yasseri (auth), Yamir Moreno (auth)
Format: Book Chapter
Published: Frontiers Media SA 2016
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Online Access:Get Fullteks
DOAB: description of the publication
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100 1 |a Javier Borge-Holthoefer  |4 auth 
700 1 |a Taha Yasseri  |4 auth 
700 1 |a Yamir Moreno  |4 auth 
245 1 0 |a At the Crossroads: Lessons and Challenges in Computational Social Science 
260 |b Frontiers Media SA  |c 2016 
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520 |a The interest of physicists in economic and social questions is not new: for over four decades, we have witnessed the emergence of what is called nowadays "sociophysics" and "econophysics", vigorous and challenging areas within the wider "Interdisciplinary Physics". With tools borrowed from Statistical Physics and Complexity, this new area of study have already made important contributions, which in turn have fostered the development of novel theoretical foundations in Social Science and Economics, via mathematical approaches, agent-based modelling and numerical simulations. From these foundations, Computational Social Science has grown to incorporate as well the empirical component -aided by the recent data deluge from the Web 2.0 and 3.0-, closing in this way the experiment-theory cycle in the best tradition of Physics. 
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653 |a simulation 
653 |a Social Data Science 
653 |a mathematical modeling 
653 |a Agent-based modeling 
653 |a Data Mining 
653 |a big data 
653 |a computational social science 
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