Social Network Based Big Data Analysis and Applications edited by Mehmet Kaya, Jalal Kawash, Suheil Khoury, Min-Yuh Day.

This book is a timely collection of chapters that present the state of the art within the analysis and application of big data. Working within the broader context of big data, this text focuses on the hot topics of social network modelling and analysis such as online dating recommendations, hiring p...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Kaya, Mehmet (Editor), Kawash, Jalal (Editor), Khoury, Suheil (Editor), Day, Min-Yuh (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Series:Lecture Notes in Social Networks,
Springer eBook Collection.
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Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Description
Summary:This book is a timely collection of chapters that present the state of the art within the analysis and application of big data. Working within the broader context of big data, this text focuses on the hot topics of social network modelling and analysis such as online dating recommendations, hiring practices, and subscription-type prediction in mobile phone services. Manuscripts are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’2016), which was held in August 2016. The papers were among the best featured at the meeting and were then improved and extended substantially. Social Network Based Big Data Analysis and Applications will appeal to students and researchers in the field.
Physical Description:X, 249 p. 89 illus., 77 illus. in color. online resource.
ISBN:9783319781969
ISSN:2190-5428
DOI:10.1007/978-3-319-78196-9