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 te...

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Other Authors: Liu, Huan, 1958-, Salerno, John J., Young, Michael J., SpringerLink (Online service)
Format: eBook
Language: English
Published: New York ; London : Springer, 2008.
New York ; London : 2008.
Physical Description: 1 online resource (xvii, 264 pages) : illustrations.
Subjects:
Summary: 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 procee.
Item Description: 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 procee.
Includes bibliographical references and index.
Rational Choice Theory: A Forum for Exchange of Ideas between the Hard and Social Sciences in Predictive 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 Social Learning in Adaptive Environment -- Social Network Analysis: Tasks and Tools -- Behavioral Entropy of a Cellular Phone User -- 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 Group Annotations and Process Visualizations for Role-Based Collaboration -- Modeling Malaysian Public Opinion by Mining the Malaysian Blogosphere -- Reading Between the Lines: Human-centred 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.
University staff and students only. Requires University Computer Account login off-campus.
Physical Description: 1 online resource (xvii, 264 pages) : illustrations.
Bibliography: Includes bibliographical references and index.
ISBN: 9780387776729
0387776729
9780387776712
0387776710
128121700X
9781281217004
9781441945976
1441945970
9780387521886
0387521887
Access: University staff and students only. Requires University Computer Account login off-campus.