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Community Analysis in Dynamic Social Networks by Tanja Falkowski is a nonfiction available to read on EtoBox.

What is Community Analysis in Dynamic Social Networks about?

List of Figures......Page 7 List of Tables......Page 9 List of Algorithms......Page 11 Online Communities - A Spreading Phenomenon......Page 15 Addressing Real World Problems......Page 19 Structure of the Thesis......Page 20 Types of Social Networks......Page 23 Analyzing Networks......Page 25 Subgroups in Social Network Analysis......Page 30 Real-World and Virtual Communities......Page 33 Graph Clustering Techniques......Page 36 Partitioning Methods......Page 37 Hierarchical Methods......Page 38 Density-based Methods......Page 40 Resilience Measure for Graph Clusters......Page 41 Quality Measures for Graph Clusterings......Page 42 Tracking Temporal Dynamics of Communities......Page 46 Community Evolution Models......Page 47 Models for the Evolution of Clusters......Page 48 Community Evolution in an Organizational Context......Page 49 The Community Discovery Model......Page 53 Partitioning the Time Axis and Building the Graph of Interactions......Page 55 Clustering Users into Community Instances......Page 58 Evolution of Community Instances......Page 60 Community Survival Graph......Page 62 Communities in the Survival Graph......Page 63 Actor-oriented Visualization of Community Ins

Who reads Community Analysis in Dynamic Social Networks?

Author

Tanja Falkowski

Publisher

sierke VERLAG. Sierke WWS GmbH

Published

2009

Language

EN

ISBN

9783868442120

Category

nonfiction

Subjects

Computer Science, Sociology, Networking