Big Data in Computational Social Science and Humanities

Szerző: Shu-Heng Chen

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer International Publishing AG

Elérhetőség: Beszállítói készleten

Küldés 10-13 napon belül

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This edited volume focuses on big data implications for computational social science and humanities...

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Szerző

Shu-Heng Chen

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2018

oldal

388

EAN

9783319954646

ISBN

3319954644

Enbook ID

19689721

Kiadó

Springer International Publishing AG

Súly

756

Méretek

242 x 164 x 25

Teljes leírás

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.

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Big Data in Computational Social Science and Humanities

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