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.