Social Computing and Behavioral Modeling

Social Computing and Behavioral Modeling
应用数学

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￥ 2471.00

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作者

Huan Liu, Arizona State University School of Computing, Informatics, and De, Tempe, AZ, USA; John Salerno, United States Air Force Research Laboratory, Rome, NY, USA; Michael J. Young, Air Force Resea

出版社

Springer US

出版时间

2009年03月26日

装帧

精装

ＩＳＢＮ

9781441900555

复制

页码

264

开本

语种

英文

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暂无评分

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图书简介

Social computing is concerned with the study of social behavior and social c- text based on computational systems. Behavioral modeling reproduces the social behavior, and allows for experimenting, scenario planning, and deep understa- ing of behavior, patterns, and potential outcomes. The pervasive use of computer and Internet technologies provides an unprecedented environment of various - cial activities. Social computing facilitates behavioral modeling in model building, analysis, pattern mining, and prediction. Numerous interdisciplinary and inter- pendent systems are created and used to represent the various social and physical systems for investigating the interactions between groups, communities, or nati- states. This requires joint efforts to take advantage of the state-of-the-art research from multiple disciplines, social computing, and behavioral modeling in order to document lessons learned and develop novel theories, experiments, and methodo- gies in terms of social, physical, psychological, and governmental mechanisms. The goal is to enable us to experiment, create, and recreate an operational environment with a better understanding of the contributions from each individual discipline, forging joint interdisciplinary efforts. This is the second international workshop on Social Computing, Behavioral ModelingandPrediction. The submissions were from Asia, Australia, Europe, and America. Since SBP09 is a single-track workshop, we could not accept all the good submissions. The accepted papers cover a wide range of interesting topics.

Reality Mining of Mobile Communications: Toward A New Deal On Data.- Lifting Elephants: Twitter and Blogging in Global Perspective.- Rule Evaluation Model as Behavioral Modeling of Domain Experts.- Trust and Privacy in Distributed Work Groups.- Cultural Consensus Theory: Aggregating Expert Judgments about Ties in a Social Network.- Dynamic Networks: Rapid Assessment of Changing Scenarios.- Modeling Populations of Interest in Order to Simulate Cultural Response to Influence Activities.- The Use of Agent-based Modeling in Projecting Risk Factors into the Future.- Development of an Integrated Sociological Modeling Framework (ISMF) to Model Social Systems.- The Coherence Model of Preference and Belief Formation.- Cognitive Modeling of Household Economic Behaviors during Extreme Events.- Collaborating with Multiple Distributed Perspectives and Memories.- When is social computation better than the sum of its parts?.- The Dilemma of Social Order in Iraq.- A Socio-Technical Approach to Understanding Perceptions of Trustworthiness in Virtual Organizations.- Prior-free cost sharing design: group strategyproofness and the worst absolute loss.- Monitoring Web Resources Discovery by Reusing Classification Knowledge.- Finding Influential Nodes in a Social Network from Information Diffusion Data.- Meta-modeling the Cultural Behavior Using Timed Influence Nets.- A Validation Process for Predicting Stratagemical Behavior Patterns of Powerful Leaders in Conflict.- Control of Opinions in an Ideologically Homogeneous Population.- Estimating Cyclic and Geospatial Effects of Alcohol Usage in a Social Network Directed Graph Model.- HBML: A Language for Quantitative Behavioral Modeling in the Human Terrain.- VIM: A Platform for Violent Intent Modeling.- Punishment, Rational Expectations, and Relative Payoffs in a Networked Prisoners Dilemma.- A Network-Based Approach to Understanding and Predicting Diseases.- Status and Ethnicity in Vietnam: Evidence from Experimental Games.- Behavior Grouping based on Trajectory Mining.- Learning to Recommend Tags for On-line Photos.- A Social Network Model of Alcohol Behaviors.- Using Participatory Learning to Model Human Behavior.

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