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 tools borrowed from Statistic...

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Bibliographic Details
Main Authors Javier Borge-Holthoefer, Taha Yasseri, Yamir Moreno
Format eBook
LanguageEnglish
Published Frontiers Media SA 2016
SeriesFrontiers Research Topics
Subjects
Agent-based modeling
big data
Book Industry Communication
computational social science
Data Mining
mathematical modeling
Q1-390
QC1-999
Reference, information & interdisciplinary subjects
Research & information: general
simulation
Social Data Science
Online AccessGet full text
ISBN9782889450213
288945021X
ISSN1664-8714
DOI10.3389/978-2-88945-021-3

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Summary: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.
ISBN:9782889450213
288945021X
ISSN:1664-8714
DOI:10.3389/978-2-88945-021-3