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Big data in computational social science and humanities

Author: Shu-Heng Chen
Publisher: Cham, Switzerland : Springer, [2018]
Series: Computational social sciences.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Big data in computational social science and humanities.
Cham, Switzerland : Springer, [2018]
(OCoLC)1039611986
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Shu-Heng Chen
ISBN: 9783319954653 3319954652
OCLC Number: 1076543332
Description: 1 online resource
Contents: 3.1 It Takes a Story to Catch a Fish3.2 From History to Code; 3.3 Approaching Penghu; 3.4 Penghu Epigraphies; 3.5 Penghu Epigraphies Under the Ming and Qing; 3.6 [abstract][section. 47.3.6UTF8bsm section. 47.3.6[abstract], The Rising Sun, Penghu Under the Japanese; 3.7 Conclusion; 3.8 A Case for Digital Humanities; References; 4 Expressing Dynamic Maps Through Seventeenth-Century Taiwan Dutch Manuscripts; 4.1 Objectives and Rationale of Seventeenth-Century Dutch Formosa in the Project; 4.2 Manuscript Kercboek van Formosa: Mission History Goes Digital Intro; Preface; Contents; Contributors; 1 Big Data in Computational Social Sciences and Humanities: An Introduction; 1.1 Big Data for Computational Social Sciences and Humanities in Practice; 1.1.1 Geographic Data; 1.1.2 Text Corpus Data; 1.1.2.1 History in Light of Dynamic Maps; 1.1.2.2 Economics Paradigm Shift in Light of Corpus Linguistics; 1.1.2.3 Financial Prediction in Light of Sentiment Analysis; 1.1.2.4 Network Modeling of Health-Related Concepts and Institutions; 1.1.2.5 Linguistic Complexity of Shakespeare Plays; 1.1.2.6 Evolution of "Language" in Light of Corpus Linguistics 1.1.3 Social Media Data1.1.3.1 Digital Governance Using Public Opinion Mining; 1.1.3.2 Grassroots Politics; 1.2 Survey and Challenges; 1.2.1 Survey of Published Research; 1.2.1.1 Big Data Finance; 1.2.1.2 Big Data in Psychology; 1.2.1.3 Spatial Humanities; 1.2.1.4 Cloud Computing; 1.2.2 Challenges of Using Big Data for Research; 1.2.2.1 Big Data Complexity; 1.2.2.2 Big Data Search; 1.2.2.3 Big Data Simulation; 1.2.2.4 Big Data Risks; 1.3 Conclusion and Outlook; References; Part I Practice 2 Application of Citizen Science and Volunteered Geographic Information (VGI): Tourism Development for Rural Communities2.1 Introduction; 2.2 Materials and Methods; 2.2.1 Study Site; 2.2.2 Volunteered Geographic Information (VGI); 2.2.3 Building a Web-Based GIS for Community Resource Management; 2.3 Results; 2.3.1 Community Resource Database; 2.3.2 Creating Virtual Tour Using Google Earth; 2.3.3 Establishing the Web-Based GIS Platform; 2.4 Discussion; 2.5 Conclusions and Recommendations; References; 3 Telling Stories Through R: Geo-Temporal Mappings of Epigraphic Practices on Penghu 4.3 Identifying Terms in Semi- and Unstructured Text4.4 Visualizing the Narrative with the Help of Faulkner; 4.5 Digital Exercise in Mobility; 4.6 (Fol. 38) 21 Session Chair Johannes Bavio, Clerk Simon Brenio, 26 July; 4.7 Generating a Scholarly Database; 4.8 Conclusion; References; 5 Has Homo economicus Evolved into Homo sapiens from 1992 to 2014: What Does Corpus Linguistics Say?; 5.1 Introduction; 5.2 Methods; 5.2.1 Building a General Economics Corpus; 5.2.2 Analyzing a Selected Word List Using WordSmith; 5.2.3 A Linear Regression Model to Analyze Word Frequencies
Series Title: Computational social sciences.
Responsibility: Shu-Heng Chen, editor.

Abstract:

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  Read more...

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