National Academy of Sciences | 150 Year Anniversary

Questions? Call 800-624-6242

| Items in cart [0]

The National Academies Press

PAPERBACK
price:$54.00
add to cart

Rights & Permissions

topleft topright

Dynamic Social Network Modeling and Analysis: Workshop Summary and Papers (2003)
Board on Human-Systems Integration (BOHSI)

Citation Manager

. "Spectral Methods for Analyzing and Visualizing Networks: An Introduction." Dynamic Social Network Modeling and Analysis: Workshop Summary and Papers. Washington, DC: The National Academies Press, 2003.

Please select a format:

BibTeX EndNote RefMan


Page
210
bottomleft bottomright
Page
210
Front Matter (R1-R12)
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)