Social network based big data analysis and applications /
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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Group Author: | ; ; ; |
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Published: |
Springer,
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Publisher Address: | Cham, Switzerland : |
Publication Dates: | [2018] |
Literature type: | Book |
Language: | English |
Series: |
Lecture notes in social networks. 2190-5428 |
Subjects: | |
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. |
Carrier Form: | x, 249 pages : illustrations (some color), forms ; 24 cm. |
Bibliography: | Includes bibliographical references and index. |
ISBN: |
9783319781952 (hardback) : 3319781952 (hardback) 9783319781969 (eBook) 3319781960 (eBook) |
Index Number: | PN4700 |
CLC: |
TP311.13 C912.3-39 |
Call Number: | C912.3-39/S678-3 |