Trends in Social Network Analysis : Information Propagation, User Behavior Modeling, Forecasting, and Vulnerability Assessment / edited by Rokia Missaoui, Talel Abdessalem, Matthieu Latapy.

Format:

Book

Contributor:

Missaoui, R., editor.

Abdessalem, Talel, editor.

Latapy, Matthieu, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in social networks 2190-5428

Lecture Notes in Social Networks, 2190-5428

Language:

English

Subjects (All):

Data mining.

Social sciences--Data processing.

Social sciences.

Social sciences--Computer programs.

Artificial intelligence.

Database management.

Physics.

Data Mining and Knowledge Discovery.

Computational Social Sciences.

Artificial Intelligence.

Database Management.

Applications of Graph Theory and Complex Networks.

Local Subjects:

Data Mining and Knowledge Discovery.

Computational Social Sciences.

Artificial Intelligence.

Database Management.

Applications of Graph Theory and Complex Networks.

Physical Description:

1 online resource (XIII, 255 pages) : 90 illustrations, 68 illustrations in color.

Edition:

First edition 2017.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2017.

System Details:

text file PDF

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.

Contents:

1. The Perceived Assortativity of Social Networks: Methodological Problems and Solutions

2. A Parametric Study to Construct Time-aware Social Profiles

3. A Parametric Study to Construct Time-aware Social Profiles

4. The DEvOTION Algorithm for Delurking in Social Networks

5. Social Engineering Threat Assessment using a Multi-layered Graph-based Model

6. Through The Grapevine: A Comparison of News in Microblogs and Traditional Media

7. Prediction of Elevated Activity in Online Social Media Using Aggregated and Individualized Models

8. Unsupervised Link Prediction Based on Time Frames in Weighted-Directed Citation Networks

9. An Approach to Maximize the Influence Spread in Social Networks

10. Energy Efficiency Analysis of the Very Fast Decision Tree Algorithm.

Other Format:

Printed edition:

ISBN:

978-3-319-53420-6

9783319534206

Access Restriction:

Restricted for use by site license.