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Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining (Hardcover, 1st ed. 2019) Loot Price: R1,498
Discovery Miles 14 980
Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining (Hardcover, 1st ed. 2019):...

Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining (Hardcover, 1st ed. 2019)

Nitin Agarwal, Nima Dokoohaki, Serpil Tokdemir

Series: Lecture Notes in Social Networks

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Loot Price R1,498 Discovery Miles 14 980 | Repayment Terms: R140 pm x 12*

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The contributors in this book share, exchange, and develop new concepts, ideas, principles, and methodologies in order to advance and deepen our understanding of social networks in the new generation of Information and Communication Technologies (ICT) enabled by Web 2.0, also referred to as social media, to help policy-making. This interdisciplinary work provides a platform for researchers, practitioners, and graduate students from sociology, behavioral science, computer science, psychology, cultural studies, information systems, operations research and communication to share, exchange, learn, and develop new concepts, ideas, principles, and methodologies. Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining will be of interest to researchers, practitioners, and graduate students from the various disciplines listed above. The text facilitates the dissemination of investigations of the dynamics and structure of web based social networks. The book can be used as a reference text for advanced courses on Social Network Analysis, Sociology, Communication, Organization Theory, Cyber-anthropology, Cyber-diplomacy, and Information Technology and Justice.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Lecture Notes in Social Networks
Release date: September 2018
First published: 2019
Editors: Nitin Agarwal • Nima Dokoohaki • Serpil Tokdemir
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 278
Edition: 1st ed. 2019
ISBN-13: 978-3-319-94104-2
Categories: Books > Social sciences > Sociology, social studies > Social research & statistics > General
Books > Computing & IT > Applications of computing > Databases > Data mining
LSN: 3-319-94104-6
Barcode: 9783319941042

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