Trends in Social Network Analysis - Information Propagation, User Behavior Modeling, Forecasting, and Vulnerability Assessment (Hardcover, 1st ed. 2017)

The book collects contributions from experts worldwide addressing recent scholarship in social network analysis such as influence spread, link prediction, dynamic network biclustering, and delurking. It covers both new topics and new solutions to known problems. The contributions rely on established methods and techniques in graph theory, machine learning, stochastic modelling, user behavior analysis and natural language processing, just to name a few. This text provides an understanding of using such methods and techniques in order to manage practical problems and situations. Trends in Social Network Analysis: Information Propagation, User Behavior Modelling, Forecasting, and Vulnerability Assessment appeals to students, researchers, and professionals working in the field.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Lecture Notes in Social Networks
Release date:	May 2017
First published:	2017
Editors:	Rokia Missaoui • Talel Abdessalem • Matthieu Latapy
Dimensions:	235 x 155 x 16mm (L x W x T)
Format:	Hardcover
Pages:	255
Edition:	1st ed. 2017
ISBN-13:	978-3-319-53419-0
Categories:	Books > Social sciences > General Books > Science & Mathematics > Physics > General Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-53419-X
Barcode:	9783319534190

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