Big Data in Computational Social Science and Humanities

Big Data in Computational Social Science and Humanities edited by Shu-Heng Chen.

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 an...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Chen, Shu-Heng (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Series:Computational Social Sciences,
Springer eBook Collection.
Subjects:
Data mining.
Behavioral economics.
Big data.
Natural language processing (Computer science).
Philosophy.
Political science.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Big Data in Computational Social Sciences and the Humanities: An Introduction
  • Part I: Practice
  • Application of Citizen Science and Volunteered Geographic Information (VGI): Tourism Development for Rural Communities
  • Telling Stories Through R: Geo-temporal Mappings of Epigraphic
  • Expressing Dynamic Maps through 17th-Century Taiwan Dutch Manuscripts
  • Has Homo economicus Evolved into Homo sapiens from 1992 to 2014?: What Does Corpus Linguistics Say?
  • Big Data and FinTech
  • Health in Biodiversity-Related Conventions: Analysis of a Multiplex Terminological Network (1973-2016)
  • How Does Linguistic Complexity in Shakespeare’s Plays Relate to the Production History of a Commercial American Theatre?
  • Language Communities, Corpora, and Cognition
  • From Naive Expectation to Realistic Progress – Government Applications of Big Data to Public Opinions Mining
  • Understanding “the User-Generated”: The Construction of the “ABC model” and the Imagination of “Digital Humanities”
  • Part II: Survey and Challenges
  • Big Data Finance and Financial Markets
  • Applications of Internet Methods in Psychology
  • Spatial Humanities: An Integrated Approach to Spatiotemporal Research
  • Cloud Computing in the Social Sciences and Humanities
  • Analysis of Social Media Data: An Introduction to the Characteristics and Chronological Process Spatial Humanities
  • Big Data and Research Opportunities Using HRAF Databases
  • Computational History: From Big Data to Big Simulations
  • A Posthumanist Reflection on the Digital Humanities and Social Sciences.

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