Big Data in Computational Social Science and Humanities

✍ Scribed by Shu-Heng Chen

• Publisher: Springer
• Year: 2018
• Tongue: English
• Leaves: 391
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-xiii
Big Data in Computational Social Sciences and Humanities: An Introduction (Shu-Heng Chen, Tina Yu)....Pages 1-25
Front Matter ....Pages 27-27
Application of Citizen Science and Volunteered Geographic Information (VGI): Tourism Development for Rural Communities (Jihn-Fa Jan)....Pages 29-44
Telling Stories Through R: Geo-Temporal Mappings of Epigraphic Practices on Penghu (Oliver Streiter)....Pages 45-93
Expressing Dynamic Maps Through Seventeenth-Century Taiwan Dutch Manuscripts (Ann Heylen)....Pages 95-116
Has Homo economicus Evolved into Homo sapiens from 1992 to 2014: What Does Corpus Linguistics Say? (Yawen Zou, Shu-Heng Chen)....Pages 117-137
Big Data and FinTech (Jia-Lang Seng, Yao-Min Chiang, Pang-Ru Chang, Feng-Shang Wu, Yung-Shen Yen, Tzu-Chieh Tsai)....Pages 139-163
Health in Biodiversity-Related Conventions: Analysis of a Multiplex Terminological Network (1973 –2016) (Claire Lajaunie, Pierre Mazzega, Romain Boulet)....Pages 165-182
How Does Linguistic Complexity in Shakespeare’s Plays Relate to the Production History of a Commercial American Theater? (Brian Kokensparger)....Pages 183-193
Language Communities, Corpora, and Cognition (Huei-Ling Lai, Kawai Chui, Wen-Hui Sah, Siaw-Fong Chung, Chao-Lin Liu)....Pages 195-206
From Naive Expectation to Realistic Progress: Government Applications of Big Data on Public Opinions Mining (Naiyi Hsiao, Zhoupeng Liao, Don-Yun Chen)....Pages 207-220
Understanding “The User-Generated”: The Construction of the “ABC Model” and the Imagination of “Digital Humanities” (Hui-Wen Liu, I-Ying Lin, Ming-Te Chi, Kuo-Wei Hsu)....Pages 221-232
Front Matter ....Pages 233-233
Big Data Finance and Financial Markets (Dehua Shen, Shu-Heng Chen)....Pages 235-248
Applications of Internet Methods in Psychology (Lee-Xieng Yang)....Pages 249-262
Spatial Humanities: An Integrated Approach to Spatiotemporal Research (David Blundell, Ching-Chih Lin, James X. Morris)....Pages 263-288
Cloud Computing in Social Sciences and Humanities (Michael J. Gallagher)....Pages 289-296
Analysis of Social Media Data: An Introduction to the Characteristics and Chronological Process (Pai-Lin Chen, Yu-Chung Cheng, Kung Chen)....Pages 297-321
Big Data and Research Opportunities Using HRAF Databases (Michael D. Fischer, Carol R. Ember)....Pages 323-336
Computational History: From Big Data to Big Simulations (Andrea Nanetti, Siew Ann Cheong)....Pages 337-363
A Posthumanist Reflection on the Digital Humanities and Social Sciences (Chia-Rong Tsao)....Pages 365-377
Back Matter ....Pages 379-388

✦ Subjects

Big Data, Computational Social Science, Humanities