Hybrid Intelligence for Social Networks (Paperback, Softcover reprint of the original 1st ed. 2017)

This book explains aspects of social networks, varying from development and application of new artificial intelligence and computational intelligence techniques for social networks to understanding the impact of social networks. Chapters 1 and 2 deal with the basic strategies towards social networks such as mining text from such networks and applying social network metrics using a hybrid approach; Chaps. 3 to 8 focus on the prime research areas in social networks: community detection, influence maximization and opinion mining. Chapter 9 to 13 concentrate on studying the impact and use of social networks in society, primarily in education, commerce, and crowd sourcing. The contributions provide a multidimensional approach, and the book will serve graduate students and researchers as a reference in computer science, electronics engineering, communications, and information technology.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	May 2018
First published:	2017
Editors:	Hema Banati • Siddhartha Bhattacharyya • Ashish Mani • Mario Koeppen
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Paperback
Pages:	327
Edition:	Softcover reprint of the original 1st ed. 2017
ISBN-13:	978-3-319-87955-0
Categories:	Books > Computing & IT > General theory of computing > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-87955-3
Barcode:	9783319879550

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