<p><p>Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive
Social Network Data Analytics
โ Scribed by Charu C. Aggarwal (auth.), Charu C. Aggarwal (eds.)
- Publisher
- Springer
- Year
- 2011
- Tongue
- English
- Leaves
- 502
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Front Matter....Pages 1-1
An Introduction to Social Network Data Analytics....Pages 1-15
Statistical Properties of Social Networks....Pages 17-42
Random Walks in Social Networks and their Applications: A Survey....Pages 43-77
Community Discovery in Social Networks: Applications, Methods and Emerging Trends....Pages 79-113
Node Classification in Social Networks....Pages 115-148
Evolution in Social Networks: A Survey....Pages 149-175
A Survey of Models and Algorithms for Social Influence Analysis....Pages 177-214
A Survey of Algorithms and Systems for Expert Location in Social Networks....Pages 215-241
A Survey of Link Prediction in Social Networks....Pages 243-275
Privacy in Social Networks: A Survey....Pages 277-306
Visualizing Social Networks....Pages 307-326
Data Mining in Social Media....Pages 327-352
Text Mining in Social Networks....Pages 353-378
Integrating Sensors and Social Networks....Pages 379-412
Multimedia Information Networks in Social Media....Pages 413-445
An Overview of Social Tagging and Applications....Pages 447-497
Back Matter....Pages 18-18
โฆ Subjects
Computer Appl. in Social and Behavioral Sciences
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