Articles liés à Big Data in Computational Social Science and Humanities
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Shu-Heng Chen is a Taiwanese economist and currently a Distinguished Professor at the Department of Economics at National Chengchi University. He is also the founder and Director of the AI-ECON Research Center at the National Chengchi University. His contributions are in the area of computational approaches to understanding economic and finance problems, in particular, the use of heterogeneous agent-based approach and genetic programming in economics. He is considered one of the pioneers in the field of agent-based computational economics and the first to introduce genetic programming to ACE. He takes a biologically-inspired approach in modeling the boundedly rational behavior of agents and is influenced by the work of Herbert A. Simon.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurSpringer International Publishing AG
- Date d'édition2018
- ISBN 10 3319954644
- ISBN 13 9783319954646
- ReliureRelié
- Langueanglais
- Nombre de pages388
- ÉditeurChen Shu-Heng
- Coordonnées du fabricantnon disponible
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Big Data in Computational Social Science and Humanities.
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Cham, Springer., 2018
ISBN 10 : 3319954644
ISBN 13 : 9783319954646
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xiii, 388 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch. N° de réf. du vendeur 5713BB
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Big Data in Computational Social Science and Humanities
Edité par
Springer International Publishing, 2018
ISBN 10 : 3319954644
ISBN 13 : 9783319954646
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a comprehensive overview of the use of big data in various disciplines of the social sciences and humanitiesIncludes self-contained and easy-accessible chapters for big data governance Exemplifies the new kind of interdisciplinary . N° de réf. du vendeur 230746408
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Big Data in Computational Social Science and Humanities
Edité par
Springer International Publishing, 2018
ISBN 10 : 3319954644
ISBN 13 : 9783319954646
Neuf
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783319954646
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Big Data in Computational Social Science and Humanities
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Springer International Publishing Nov 2018, 2018
ISBN 10 : 3319954644
ISBN 13 : 9783319954646
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 404 pp. Englisch. N° de réf. du vendeur 9783319954646
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Big Data in Computational Social Science and Humanities
ISBN 10 : 3319954644
ISBN 13 : 9783319954646
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Buch. Etat : Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 404 pp. Englisch. N° de réf. du vendeur 9783319954646
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