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Computational Social Sciences

Big Data in Computational Social Science and Humanities

Editors: Chen, Shu-Heng (Ed.)

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  • Provides a comprehensive overview of the use of big data in various disciplines of the social sciences and humanities
  • Includes self-contained and easy-accessible chapters for big data governance
  • Exemplifies the new kind of interdisciplinary collaborations in the big-data era
  • Shows how the digital society brings in methodological innovations to social sciences and humanities
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  • ISBN 978-3-319-95465-3
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  • ISBN 978-3-319-95464-6
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About this book

This edited volume focuses on big data implications for computational social science and humanities from management to usage. The first part of the book covers geographic data, text corpus data, and social media data, and exemplifies their concrete applications in a wide range of fields including anthropology, economics, finance, geography, history, linguistics, political science, psychology, public health, and mass communications. 

The second part of the book provides a panoramic view of the development of big data in the fields of computational social sciences and humanities.  The following questions are addressed: why is there a need for novel data governance for this new type of data?, why is big data important for social scientists?, and how will it revolutionize the way social scientists conduct research? 

With the advent of the information age and technologies such as Web 2.0, ubiquitous computing, wearable devices, and the Internet of Things, digital society has fundamentally changed what we now know as "data", the very use of this data, and what we now call "knowledge". Big data has become the standard in social sciences, and has made these sciences more computational. Big Data in Computational Social Science and Humanities will appeal to graduate students and researchers working in the many subfields of the social sciences and humanities.


About the authors

Shu-Heng Chen is a Taiwanese economist and currently a Distinguished Professor at the Department of Economics at National Chengchi University. He is also the founder and Director of the AI-ECON Research Center at the National Chengchi University. His contributions are in the area of computational approaches to understanding economic and finance problems, in particular, the use of heterogeneous agent-based approach and genetic programming in economics. He is considered one of the pioneers in the field of agent-based computational economics and the first to introduce genetic programming to ACE. He takes a biologically-inspired approach in modeling the boundedly rational behavior of agents and is influenced by the work of Herbert A. Simon.

Table of contents (19 chapters)

Table of contents (19 chapters)
  • Big Data in Computational Social Sciences and Humanities: An Introduction

    Pages 1-25

    Chen, Shu-Heng (et al.)

  • Application of Citizen Science and Volunteered Geographic Information (VGI): Tourism Development for Rural Communities

    Pages 29-44

    Jan, Jihn-Fa

  • Telling Stories Through R: Geo-Temporal Mappings of Epigraphic Practices on Penghu

    Pages 45-93

    Streiter, Oliver

  • Expressing Dynamic Maps Through Seventeenth-Century Taiwan Dutch Manuscripts

    Pages 95-116

    Heylen, Ann

  • Has Homo economicus Evolved into Homo sapiens from 1992 to 2014: What Does Corpus Linguistics Say?

    Pages 117-137

    Zou, Yawen (et al.)

Buy this book

eBook n/a
  • ISBN 978-3-319-95465-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
Hardcover n/a
  • ISBN 978-3-319-95464-6
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Big Data in Computational Social Science and Humanities
Editors
  • Shu-Heng Chen
Series Title
Computational Social Sciences
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG, part of Springer Nature
eBook ISBN
978-3-319-95465-3
DOI
10.1007/978-3-319-95465-3
Hardcover ISBN
978-3-319-95464-6
Series ISSN
2509-9574
Edition Number
1
Number of Pages
XIII, 388
Number of Illustrations
12 b/w illustrations, 114 illustrations in colour
Topics