
Dynamic Social Network Modeling and Analysis
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Content
- FrontMatter
- Preface
- Contents
- PART I Workshop Summary
- Workshop Summary
- INTRODUCTION
- WORKSHOP SESSIONS AND THEMES
- RESEARCH ISSUES AND PROSPECTS
- PART II Workshop Papers
- OPENING ADDRESS
- Emergent Themes in Social Network Analysis: Results, Challenges, Opportunities-Ronald L. Breiger
- SESSION I Social Network Theory Perspectives
- Finding Social Groups: A Meta-Analysis of the Southern Women Data-Linton C. Freeman
- Autonomy vs. Equivalence Within Market Network Structure?-Harrison White
- Social Influence Network Theory: Toward a Science of Strategic Modification of Interpersonal Influence Systems-Noah E. Friedkin
- Information and Innovation in a Networked World-David Lazer
- SESSION II Dynamic Social Networks
- Informal Social Roles and the Evolution and Stability of Social Networks-Jeffrey C. Johnson
- Dynamic Network Analysis-Kathleen M. Carley
- Accounting for Degree Distributions in Empirical Analysis of Network Dynamics-Tom A.B. Snijders
- Polarization in Dynamic Networks: A Hopfield Model of Emergent Structure-Michael W. Macy, James A. Kitts, Andreas Flache, and Steve Benard
- Local Rules and Global Properties: Modeling the Emergence of Network Structure-Martina Morris
- Social Networks From Sexual Networks to Threatened Networks-H. Eugene Stanley and Shlomo Havlin
- SESSION III Metrics and Models
- Sensitivity Analysis of Social Network Data and Methods: Some Preliminary Results-Stanley Wasserman and Douglas Steinley
- Spectral Methods for Analyzing and Visualizing Networks: An Introduction-Andrew J. Seary and William .D. Richards
- Statistical Models for Social Networks: Inference and Degeneracy-Mark S. Handcock
- The Key Player Problem-Stephen P. Borgatti
- Balancing Efficiency and Vulnerability in Social Networks-Elisa Jayne Bienenstock and Phillip Bonacich
- Data Mining on Large Graphs-Christopher R. Pamer, Phillip B. Gibbons, and Christos Faloutsos
- SESSION IV Networked Worlds
- Data Mining in Social Networks-David Jensen and Jennifer Neville
- Random Effects Models for Network Data-Peter D. Hoff
- Predictability of Large-scale Spatially Embedded Networks-Carter T. Butts
- Using Multi-theoretical Multi-level (MTML) Models to Study Adversarial Networks-Noshir S. Contractor and Peter R. Monge
- Identifying International Networks: Latent Spaces and Imputation-Michael D. Ward, Peter D. Hoff, and Corey Lowell Lofdahl
- SUMMARY Themes, Issues, and Applications
- Linking Capabilities to Needs-Kathleen M. Carley
- APPENDIXES
- A Workshop Agenda
- B Biographical Sketches
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