Dynamic Social Network Modeling and Analysis

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.Table of ContentsFront MatterPart I: Workshop SummaryPart II: Workshop Papers Opening Address: Emergent Themes in Social Network Analysis: Results, Challenges, OpportunitiesSession I: Social Network Theory Perspectives Finding Social Groups: A Meta-Analysis of the Southern Women DataAutonomy vs. Equivalence Within Market Network StructureSocial Influence Network Theory: Toward a Science of Strategic Modification of Interpersonal Influence SystemsInformation and Innovation in a Networked WorldSession II: Dynamic Social Networks Informal Social Roles and the Evolution and Stability of Social NetworksDynamic Network AnalysisAccounting for Degree Distribution in Empirical Analysis of Network DynamicsPolarization in Dynamic Networks: A Hopfield Model of Emergent StructureLocal Rules and Global Properties: Modeling the Emergence of Network StructureSocial Networks: Threat Networks and Threatened NetworksSession III: Metrics and Models Sensitivity Analysis of Social Network Data and Methods: Some Preliminary ResultsSpectral Methods for Analyzing and Visualizing Networks: An IntroductionStatistical Models for Social Networks: Inference and DegeneracyThe Key Player ProblemBalancing Efficiency and Vulnerability in Social NetworksData Mining on Large GraphsSession IV: Networked Worlds Data Mining in Social NetworksRandom Effects Models for Network DataPredictability of Large-Scale Spatially Embedded NetworksUsing Multi-Theoretical Multi-Level (MTML) Models to Study Adversarial NetworksIdentifying International Networks: Latent Spaces and ImputationSummary: Themes, Issues, and ApplicationsLinking Capabilities to NeedsAppendix A: Workshop AgendaAppendix B: Biographical Sketches