Social Computing, Behavioral Modeling, and Prediction

By: Huan Liu (Editor), John Salerno (Editor), Michael J. Young (Editor)

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Hardcover | 12 March 2008

At a Glance

Hardcover
284 Pages

Dimensions(cm)
24.13 x 16.51 x 1.91

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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.

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You Can Find This Book In

Non-Fiction Psychology Computing & I.T.Databases Data Mining Computer Science Human-Computer Interaction User Interface Design & Usability Business & Management Operational Research Sociology & Anthropology Sociology

Social Research & Statistics Mathematics Optimisation Game Theory Operating Systems Probability & Statistics Business Applications

Preface	p. v
Acknowledgments	p. ix
List of Contributors	p. xv
Rational Choice Theory: A Forum for Exchange of Ideas between the Hard and Social Sciences in Predictive Behavioral Modeling	p. 1
The SOMA Terror Organization Portal (Stop): social network and analytic tools for the real-time analysis of terror groups	p. 9
The Sociology of Alien Rule	p. 19
The DoD Encounters the Blogosphere	p. 25
Integrating Multi-Agent Technology with Cognitive Modeling to Develop an Insurgency Information Framework (IIF)	p. 26
Stochastic Opponent Modeling Agents: A Case Study with Hezbollah	p. 37
An approach to modeling group behaviors and beliefs in conflict situations	p. 46
Computational Models of Multi-national Organizations	p. 57
Clustering of Trajectory Data obtained from Soccer Game Records-A First Step to Behavioral Modeling	p. 69
Mobile Phone Data for Inferring Social Network Structure	p. 79
Human Behavioral Modeling Using Fuzzy and Dempster-Shafer Theory	p. 89
Online Behavioral Analysis and Modeling Methodology (OBAMM)	p. 100
Mining for Social Processes in Intelligence Data Streams	p. 110
An Ant Colony Optimization Approach to Expert Identification in Social Networks	p. 120
Attribution-based Anomaly Detection: Trustworthiness in an Online Community	p. 129
Particle Swarm Social Model for Group Social Learning in Adaptive Environment	p. 141
Social Network Analysis: Tasks and Tools	p. 151
Behavioral Entropy of a Cellular Phone User	p. 160
Community Detection in a Large Real-World Social Network	p. 168
Where are the slum? New approaches to urban regeneration	p. 176
A Composable Discrete-Time Cellular Automaton Formalism	p. 187
Designing Group Annotations and Process Visualizations for Role-Based Collaboration	p. 197
Modeling Malaysian Public Opinion by Mining the Malaysian Blogosphere	p. 207
Reading Between the Lines: Human-centered Classification of Communication Patterns and Intentions	p. 218
Metagame Strategies of Nation-States, with Application to Cross-Strait Relations	p. 229
Automating Frame Analysis	p. 239
Using Topic Analysis to Compute Identity Group Attributes	p. 249
Biographies	p. 259
Author Index	p. 261
Table of Contents provided by Ingram. All Rights Reserved.

Social Computing, Behavioral Modeling, and Prediction

At a Glance

Hardcover

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