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Big Data in Computational Social Science and Humanities

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Cover of 'Big Data in Computational Social Science and Humanities'

Table of Contents

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    Book Overview
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    Chapter 1 Big Data in Computational Social Sciences and Humanities: An Introduction
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    Chapter 2 Application of Citizen Science and Volunteered Geographic Information (VGI): Tourism Development for Rural Communities
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    Chapter 3 Telling Stories Through R: Geo-Temporal Mappings of Epigraphic Practices on Penghu
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    Chapter 4 Expressing Dynamic Maps Through Seventeenth-Century Taiwan Dutch Manuscripts
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    Chapter 5 Has Homo economicus Evolved into Homo sapiens from 1992 to 2014: What Does Corpus Linguistics Say?
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    Chapter 6 Big Data and FinTech
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    Chapter 7 Health in Biodiversity-Related Conventions: Analysis of a Multiplex Terminological Network (1973 –2016)
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    Chapter 8 How Does Linguistic Complexity in Shakespeare’s Plays Relate to the Production History of a Commercial American Theater?
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    Chapter 9 Language Communities, Corpora, and Cognition
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    Chapter 10 From Naive Expectation to Realistic Progress: Government Applications of Big Data on Public Opinions Mining
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    Chapter 11 Understanding “The User-Generated”: The Construction of the “ABC Model” and the Imagination of “Digital Humanities”
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    Chapter 12 Big Data Finance and Financial Markets
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    Chapter 13 Applications of Internet Methods in Psychology
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    Chapter 14 Spatial Humanities: An Integrated Approach to Spatiotemporal Research
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    Chapter 15 Cloud Computing in Social Sciences and Humanities
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    Chapter 16 Analysis of Social Media Data: An Introduction to the Characteristics and Chronological Process
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    Chapter 17 Big Data and Research Opportunities Using HRAF Databases
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    Chapter 18 Computational History: From Big Data to Big Simulations
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    Chapter 19 A Posthumanist Reflection on the Digital Humanities and Social Sciences
Attention for Chapter 18: Computational History: From Big Data to Big Simulations
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Chapter title
Computational History: From Big Data to Big Simulations
Chapter number 18
Book title
Big Data in Computational Social Science and Humanities
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-95465-3_18
Book ISBNs
978-3-31-995464-6, 978-3-31-995465-3
Authors

Andrea Nanetti, Siew Ann Cheong, Nanetti, Andrea, Cheong, Siew Ann

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 25%
Student > Ph. D. Student 1 13%
Other 1 13%
Student > Master 1 13%
Unknown 3 38%
Readers by discipline Count As %
Arts and Humanities 2 25%
Mathematics 1 13%
Business, Management and Accounting 1 13%
Engineering 1 13%
Unknown 3 38%