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In the summer of 2002, the Office of Naval Research asked the Committee on Human Factors to hold a workshop on dynamic social network and analysis. The primary purpose of the workshop was to bring together scientists who represent a diversity of views and approaches to share their insights, commentary, and critiques on the developing body of social network analysis research and application. The secondary purpose was to provide sound models and applications for current problems of national importance, with a particular focus on national security. This workshop is one of several activities undertaken by the National Research Council that bears on the contributions of various scientific disciplines to understanding and defending against terrorism. The presentations were grouped in four sessions – Social Network Theory Perspectives, Dynamic Social Networks, Metrics and Models, and Networked Worlds – each of which concluded with a discussant-led roundtable discussion among the presenters and workshop attendees on the themes and issues raised in the session.


Suggested Citation

National Research Council. 2003. Dynamic Social Network Modeling and Analysis: Workshop Summary and Papers. Washington, DC: The National Academies Press.

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Publication Info

392 pages |  8.5 x 11 |  Paperback
ISBN: 978-0-309-08952-4
Chapters skim
Front Matter i-xii
Part I: Workshop Summary 1-14
Part II: Workshop Papers Opening Address: Emergent Themes in Social Network Analysis: Results, Challenges, Opportunities 15-36
Session I: Social Network Theory Perspectives Finding Social Groups: A Meta-Analysis of the Southern Women Data 37-77
Autonomy vs. Equivalence Within Market Network Structure 78-88
Social Influence Network Theory: Toward a Science of Strategic Modification of Interpersonal Influence Systems 89-100
Information and Innovation in a Networked World 101-118
Session II: Dynamic Social Networks Informal Social Roles and the Evolution and Stability of Social Networks 119-132
Dynamic Network Analysis 133-145
Accounting for Degree Distribution in Empirical Analysis of Network Dynamics 146-161
Polarization in Dynamic Networks: A Hopfield Model of Emergent Structure 162-173
Local Rules and Global Properties: Modeling the Emergence of Network Structure 174-186
Social Networks: Threat Networks and Threatened Networks 187-194
Session III: Metrics and Models Sensitivity Analysis of Social Network Data and Methods: Some Preliminary Results 195-208
Spectral Methods for Analyzing and Visualizing Networks: An Introduction 209-228
Statistical Models for Social Networks: Inference and Degeneracy 229-240
The Key Player Problem 241-252
Balancing Efficiency and Vulnerability in Social Networks 253-264
Data Mining on Large Graphs 265-286
Session IV: Networked Worlds Data Mining in Social Networks 287-302
Random Effects Models for Network Data 303-312
Predictability of Large-Scale Spatially Embedded Networks 313-323
Using Multi-Theoretical Multi-Level (MTML) Models to Study Adversarial Networks 324-344
Identifying International Networks: Latent Spaces and Imputation 345-360
Summary: Themes, Issues, and ApplicationsLinking Capabilities to Needs 361-370
Appendix A: Workshop Agenda 371-375
Appendix B: Biographical Sketches 376-380

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