Trends in social network analysis : information propagation, user behavior modeling, forecasting, and vulnerability assessment /

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Bibliographic Details
Imprint:	Cham, Switzerland : Springer, 2017.
Description:	1 online resource (xiii, 255 pages) : illustrations (some color)
Language:	English
Series:	Lecture notes in social networks Lecture notes in social networks.
Subject:	Data mining. Online social networks. Data mining. Online social networks.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11273551

Hidden Bibliographic Details
Other authors / contributors:	Missaoui, R., editor. Abdessalem, Talel, editor. Latapy, Matthieu, editor.
ISBN:	9783319534206 3319534203 9783319534190 331953419X
Digital file characteristics:	text file PDF
Notes:	Online resource; title from PDF title page (SpringerLink, viewed May 4, 2017).
Summary:	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.
Other form:	Print version: Trends in social network analysis. Cham, Switzerland : Springer, 2017 331953419X 9783319534190
Standard no.:	10.1007/978-3-319-53420-6

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