Computational Social Science and Complex Systems

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Title: Computational Social Science and Complex Systems
Description: For many years, the development of large-scale quantitative social science was hindered by a lack of data. Traditional methods of data collection like surveys were very useful, but were limited. The situation has of course changed with the development of computing and information communication technology, and we now live in a world of data deluge, where the question has become how to extract important information from the plethora of data that can be accessed. Big Data has made it possible to study societal questions which were once impossible to deal with, but new tools and new multidisciplinary approaches are required. Physicists, together with economists, sociologists, computer scientists, etc. have played an important role in their development. This book presents the 9 lectures delivered at the CCIII Summer Course Computational Social Science and Complex Systems, held as part of the International School of Physics Enrico Fermi in Varenna, Italy, from 16-21 July 2018. The course had the aim of presenting some of the recent developments in the interdisciplinary fields of computational social science and econophysics to PhD students and young researchers, with lectures focused on recent problems investigated in computational social science. Addressing some of the basic questions and many of the subtleties of the emerging field of computational social science, the book will be of interest to students, researchers and advanced research professionals alike.
Authors: János Kertész, Rosario Nunzio Mantegna, Salvatore Miccichè
Resource Type: eBook.
Subjects: Social sciences--Mathematical models--Congresses, Social sciences--Data processing--Congresses
Categories: SOCIAL SCIENCE / Statistics
Database: eBook Collection (EBSCOhost)
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  Availability: 0
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PubType: eBook
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  Data: For many years, the development of large-scale quantitative social science was hindered by a lack of data. Traditional methods of data collection like surveys were very useful, but were limited. The situation has of course changed with the development of computing and information communication technology, and we now live in a world of data deluge, where the question has become how to extract important information from the plethora of data that can be accessed. Big Data has made it possible to study societal questions which were once impossible to deal with, but new tools and new multidisciplinary approaches are required. Physicists, together with economists, sociologists, computer scientists, etc. have played an important role in their development. This book presents the 9 lectures delivered at the CCIII Summer Course Computational Social Science and Complex Systems, held as part of the International School of Physics Enrico Fermi in Varenna, Italy, from 16-21 July 2018. The course had the aim of presenting some of the recent developments in the interdisciplinary fields of computational social science and econophysics to PhD students and young researchers, with lectures focused on recent problems investigated in computational social science. Addressing some of the basic questions and many of the subtleties of the emerging field of computational social science, the book will be of interest to students, researchers and advanced research professionals alike.
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      – Code: 300.285
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Social sciences--Mathematical models--Congresses
        Type: general
      – SubjectFull: Social sciences--Data processing--Congresses
        Type: general
    Titles:
      – TitleFull: Computational Social Science and Complex Systems
        Type: main
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            NameFull: János Kertész
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            NameFull: Rosario Nunzio Mantegna
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            NameFull: Salvatore Miccichè
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            NameFull: János Kertész
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            NameFull: Rosario Nunzio Mantegna
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            NameFull: Salvatore Miccichè
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2019
            – D: 17
              M: 01
              Type: profile
              Y: 2020
          Identifiers:
            – Type: isbn-print
              Value: 9781643680361
            – Type: isbn-electronic
              Value: 9781643680378
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            – Type: volume
              Value: 00203
          Titles:
            – TitleFull: Computational Social Science and Complex Systems
              Type: main
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