Trends in Social Network Analysis (eBook)

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

Rokia Missaoui, Talel Abdessalem, Matthieu Latapy (Herausgeber)

eBook Download: PDF

2017 | 1st ed. 2017
XIII, 255 Seiten
Springer International Publishing (Verlag)
978-3-319-53420-6 (ISBN)

Infos

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.

Produkt-Details

• Erscheint lt. Verlag: 29.4.2017
• Reihe/Serie: Lecture Notes in Social Networks
• Reihe/Serie: Lecture Notes in Social Networks
• Zusatzinfo: XIII, 255 p. 90 illus., 68 illus. in color.
• Verlagsort: Cham
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Sozialwissenschaften ► Politik / Verwaltung
• Themenwelt: Technik
• Schlagworte: Assortativity of Social networks • Block Modelling in Dynamic Networks • Computational Social Sciences • energy efficient data mining • sarcasm analysis in social networks • social engineering vulnerability assessment • social profile construction techniques • unsupervised link prediction method
• ISBN-10: 3-319-53420-3 / 3319534203
• ISBN-13: 978-3-319-53420-6 / 9783319534206