Social computing, behavioral modeling, and prediction

Social computing concerns the study of social behavior and context based on computational systems. Behavioral modeling reproduces the social behavior, and allows for experimenting with and deep understanding of behavior, patterns, and potential outcomes. The pervasive use of computer and Internet technologies provides an unprecedented environment where people can share opinions and experiences, offer suggestions and advice, debate, and even conduct experiments. Social computing facilitates behavioral modeling in model building, analysis, pattern mining, anticipation, and prediction. The proceedings from this interdisciplinary workshop provide a platform for researchers, practitioners, and graduate students from sociology, behavioral and computer science, psychology, cultural study, information systems, and operations research to share results and develop new concepts and methodologies aimed at advancing and deepening our understanding of social and behavioral computing to aid critical decision making. Presents material from a unique workshop focused on employing social computing for behavioral modeling and prediction Integrates an interdisciplinary audience and welcomes researchers, practitioners, and graduate students from social science, behavioral science, computer science, psychology, cultural study,information systems, and operations research Incorporates views from government, industry, and academia INDICE: Preface.- Acknowledgments.- List of Contributors.- Rational ChoiceTheory: A Forum for Exchange of Ideas between the Hard and Social Sciences inPredictive Behavioral Modeling.- The SOMA Terror Organization Portal (STOP): Social network and analytic tools for the real-time analysis of terror groups.- The Sociology of Alien Rule.- The DoD Encounters the Blogosphere.- Integrating Multi-Agent Technology with Cognitive Modeling to Develop an Insurgency Information Framework (IIF).- Stochastic Opponent Modeling Agents: A Case Study with Hezbollah.- An approach to modeling group behaviors and beliefs in conflict situations.- Computational Models of Multi-national Organizations.- Clustering of Trajectory Data Obtained from Soccer Game Records - A First Step to Behavioral Modeling.- Mobile Phone Data for Inferring Social Network Structure.- Human Behavioral Modeling Using Fuzzy and Dempster-Shafer Theory.- Online Behavioral Analysis and Modeling Methodology (OBAMM - Mining for Social Processes in Intelligence Data Streams.- An Ant Colony Optimization Approach to Expert Identification in Social Networks.- Attribution-based Anomaly Detection: Trustworthiness in an Online Community.- Particle Swarm Social Model for Group SocialLearning in Adaptive Environment.- Social Network Analysis: Tasks and Tools.-Behavioral Entropy of a Cellular Phone.- Community Detection in a Large Real-World Social Network.- Where are the slums? New approaches to urban regeneration.- A Composable Discrete-Time Cellular Automaton Formalism.- Designing GroupAnnotations and Process Visualizations for Role-Based Collaboration.- Modeling Malaysian Public Opinion by Mining the Malaysian Blogosphere.- Reading Between the Lines: Human-centered Classification of Communication Patterns and Intentions.- Metagame Strategies of Nation-States, with Application to Cross-Strait Relations.- Automating Frame Analysis.- Using Topic Analysis to Compute Identity Group Attributes.- Biographies.- Author Index.

• ISBN: 978-0-387-77671-2
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 264
• Fecha Publicación: 01/03/2008
• Nº Volúmenes: 1
• Idioma: Inglés