Lecture Notes in Social Networks

Trends in Social Network Analysis

Information Propagation, User Behavior Modeling, Forecasting, and Vulnerability Assessment

Editors: Missaoui, Rokia, Abdessalem, Talel, Latapy, Matthieu (Eds.)

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  • Presents overviews of problems and recommended solutions in social network analysis such as link prediction, influence maximization, and block modelling in complex networks
  • Explores new areas such as sarcasm and sentiment analysis, block modelling in dynamic networks using stochastic approaches, and behavior modelling of social network users
  • Features novel research topics such as social network user delurking, and threat assessment in social engineering
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eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-319-53420-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-3-319-53419-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.99
price for USA in USD
  • ISBN 978-3-319-85149-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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.

Reviews

“This volume is a selective post-proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining. … The papers are uniformly of high quality and represent a good snapshot of the state of the art in the areas that they discuss. … The high quality of these carefully revised conference papers makes the volume of interest to researchers specializing in social networks who seek to stay abreast of recent developments.” (Computing Reviews, September, 2017) 


Table of contents (10 chapters)

Table of contents (10 chapters)
  • The Perceived Assortativity of Social Networks: Methodological Problems and Solutions

    Fisher, David N. (et al.)

    Pages 1-19

  • A Parametric Study to Construct Time-Aware Social Profiles

    On-at, Sirinya (et al.)

    Pages 21-50

  • Sarcasm Analysis on Twitter Data Using Machine Learning Approaches

    Bharti, Santosh Kumar (et al.)

    Pages 51-76

  • The DEvOTION Algorithm for Delurking in Social Networks

    Interdonato, Roberto (et al.)

    Pages 77-106

  • Social Engineering Threat Assessment Using a Multi-Layered Graph-Based Model

    Jaafor, Omar (et al.)

    Pages 107-133

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-319-53420-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-3-319-53419-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.99
price for USA in USD
  • ISBN 978-3-319-85149-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Trends in Social Network Analysis
Book Subtitle
Information Propagation, User Behavior Modeling, Forecasting, and Vulnerability Assessment
Editors
  • Rokia Missaoui
  • Talel Abdessalem
  • Matthieu Latapy
Series Title
Lecture Notes in Social Networks
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-53420-6
DOI
10.1007/978-3-319-53420-6
Hardcover ISBN
978-3-319-53419-0
Softcover ISBN
978-3-319-85149-5
Series ISSN
2190-5428
Edition Number
1
Number of Pages
XIII, 255
Number of Illustrations
22 b/w illustrations, 68 illustrations in colour
Topics