Big Data in Computational Social Science and Humanities
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portes grátis
Big Data in Computational Social Science and Humanities
Chen, Shu-Heng
Springer International Publishing AG
10/2018
389
Dura
Inglês
9783319954646
Pré-lançamento - envio 15 a 20 dias após a sua edição
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?
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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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?
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
