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 PapersOpening Address: Emergent Themes in Social Network Analysis:Results, Challenges, OpportunitiesSession I: Social Network Theory PerspectivesFinding Social Groups: A Meta-Analysis of the Southern Women DataAutonomy vs. Equivalence Within Market Network StructureSocial Influence Network Theory: Toward a Science of StrategicModification of Interpersonal Influence SystemsInformation and Innovation in a Networked WorldSession II: Dynamic Social NetworksInformal Social Roles and the Evolution and Stability of SocialNetworksDynamic Network AnalysisAccounting for Degree Distribution in Empirical Analysis of NetworkDynamicsPolarization in Dynamic Networks: A Hopfield Model of EmergentStructureLocal Rules and Global Properties: Modeling the Emergence ofNetwork StructureSocial Networks: Threat Networks and Threatened NetworksSession III: Metrics and ModelsSensitivity Analysis of Social Network Data and Methods: SomePreliminary ResultsSpectral Methods for Analyzing and Visualizing Networks: AnIntroductionStatistical Models for Social Networks: Inference and DegeneracyThe Key Player ProblemBalancing Efficiency and Vulnerability in Social NetworksData Mining on Large GraphsSession IV: Networked WorldsData Mining in Social NetworksRandom Effects Models for Network DataPredictability of Large-Scale Spatially Embedded NetworksUsing Multi-Theoretical Multi-Level (MTML) Models to StudyAdversarial NetworksIdentifying International Networks: Latent Spaces and ImputationSummary: Themes, Issues, and ApplicationsLinking Capabilities to NeedsAppendix A: Workshop AgendaAppendix B: Biographical Sketches