國立高雄大學圖資館 |

Language: English

Back

Big data in computational social sci...

Chen, Shu-Heng.

Big data in computational social science and humanities

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data in computational social science and humanitiesedited by Shu-Heng Chen.
other author:	Chen, Shu-Heng.
Published:	Cham :Springer International Publishing :2018.
Description:	xiii, 388 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Social sciencesData processing.
Online resource:	https://doi.org/10.1007/978-3-319-95465-3
ISBN:	9783319954653$q(electronic bk.)

Big data in computational social science and humanities
Big data in computational social science and humanities[electronic resource] /edited by Shu-Heng Chen. - Cham :Springer International Publishing :2018. - xiii, 388 p. :ill., digital ;24 cm. - Computational social sciences,2509-9574. - Computational social sciences..

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.

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.

ISBN: 9783319954653$q(electronic bk.)

Standard No.: 10.1007/978-3-319-95465-3doiSubjects--Topical Terms:

184795
Social sciences
--Data processing.

LC Class. No.: H61.3

Dewey Class. No.: 300.285

Big data in computational social science and humanities
LDR:04001nmm a2200361 a 4500 001 547198
003 DE-He213
005 20181123121749.0
006 m d
007 cr nn 008maaau
008 190709s2018 gw s 0 eng d
020 $a 9783319954653$q(electronic bk.)
020 $a 9783319954646$q(paper)
020 $z 9783319954660
024 7 $a 10.1007/978-3-319-95465-3 $2 doi
035 $a 978-3-319-95465-3
040 $a GP $c GP
041 0 $a eng
050 4 $a H61.3
072 7 $a UNF $2 bicssc
072 7 $a COM021030 $2 bisacsh
072 7 $a UNF $2 thema
072 7 $a UYQE $2 thema
082 0 4 $a 300.285 $2 23
090 $a H61.3 $b .B592 2018
245 0 0 $a Big data in computational social science and humanities $h [electronic resource] / $c edited by Shu-Heng Chen.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xiii, 388 p. : $b ill., digital ; $c 24 cm.
490 1 $a Computational social sciences, $x 2509-9574
505 0 $a 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.
520 $a 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.
650 0 $a Social sciences $x Data processing. $3 184795
650 0 $a Digital humanities. $3 761304
650 0 $a Big data $x Social aspects. $3 603943
650 1 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Behavioral/Experimental Economics. $3 737421
650 2 4 $a Big Data/Analytics. $3 742047
650 2 4 $a Natural Language Processing (NLP) $3 826373
650 2 4 $a Philosophy of Technology. $3 274756
650 2 4 $a Political Science. $3 274226
700 1 $a Chen, Shu-Heng. $3 510614
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Computational social sciences. $3 676494
856 4 0 $u https://doi.org/10.1007/978-3-319-95465-3
950 $a Computer Science (Springer-11645)