rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Advances in Social Computing
    sub title: Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Bethesda, MD, USA, March 30-31, 2010. Proceedings
  name:
    name part: Chai, Sun-Ki.
    role:
      role term: editor.
  name:
    name part: Salerno, John J.
    role:
      role term: editor.
  name:
    name part: Mabry, Patricia L.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2010
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XV, 426 p. 126 illus. online resource.
  abstract: Social computing is concerned with the study of social behavior and social context based on computational systems. Behavioral modeling provides a representation of the social behavior, and allows for experimenting, scenario planning, and deep und- standing of behavior, patterns, and potential outcomes. The pervasive use of computer and Internet technologies by humans in everyday life provides an unprecedented en- ronment of various social activities that, due to the platforms under which they take place, generate large amounts of stored data as a by-product, often in systematically organized form. Social computing facilitates behavioral modeling in model building, analysis, pattern mining, and prediction. Numerous interdisciplinary and interdepe- ent systems are created and used to represent the various social and physical systems for investigating the interactions between groups, communities, or nation-states. This requires joint efforts to take advantage of the state-of-the-art research from multiple disciplines improving social computing and behavioral modeling in order to document lessons learned and develop novel theories, experiments, and methodologies to better explain the interaction between social (both informal and institutionalized), psyc- logical, and physical 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 volume comprises the proceedings of the third international workshop on - cial Computing, Behavioral Modeling and Prediction, which has grown trem- dously.
  table of contents: Beyond Degree Distributions: Local to Global Structure of Social Contact Graphs -- Endogenous Market-Clearing Prices and Reference Point Adaptation -- Modeling Effect of Leaders in Ethno-Religious Conflicts -- Calibrating Subjective Probabilities Using Hierarchical Bayesian Models -- State-Dependent Risk Preferences in Evolutionary Games -- Social Learning and Cumulative Innovations in a Networked Group -- Understanding Segregation Processes -- Social Factors in Creating an Integrated Capability for Health System Modeling and Simulation -- A System Dynamics Approach to Modeling the Sensitivity of Inappropriate Emergency Department Utilization -- Using Social Network Analysis for Spam Detection -- Literature Search through Mixed-Membership Community Discovery -- Predictability and Prediction for an Experimental Cultural Market -- Macroeconomic Analysis of Universal Coverage in the U.S. -- Projecting Sexual and Injecting HIV Risks into Future Outcomes with Agent-Based Modeling -- Cultural Consensus Theory: Aggregating Continuous Responses in a Finite Interval -- Information Overload and Viral Marketing: Countermeasures and Strategies -- Using Model Replication to Improve the Reliability of Agent-Based Models -- Multiscale Comparison of Three-Dimensional Trajectories Based on the Curvature Maxima and Its Application to Medicine -- A Knowledge Collaboration Network Model across Disciplines -- Behavioral Analyses of Information Diffusion Models by Observed Data of Social Network -- Developing Social Networks for Artificial Societies from Survey Data -- Understanding and Enabling Online Social Networks to Support Healthy Behaviors -- A Dynamical Systems Model for Understanding Behavioral Interventions for Weight Loss -- COLBERT: A Scoring Based Graphical Model for Expert Identification -- An Agent-Based Model for Studying Child Maltreatment and Child Maltreatment Prevention -- Gryphon: A Hybrid Agent-Based Modeling and Simulation Platform for Infectious Diseases -- A Risk…
  note: edited by Sun-Ki Chai, John J. Salerno, Patricia L. Mabry.
  subject:
    topic: Computer science
  subject:
    topic: Computer communication systems
  subject:
    topic: Data mining
  subject:
    topic: Application software
  subject:
    topic: Computers and civilization
  subject:
    topic: Management information systems
  subject:
    topic: Computer Science
  subject:
    topic: Computers and Society
  subject:
    topic: Computer Communication Networks
  subject:
    topic: Computer Appl. in Social and Behavioral Sciences
  subject:
    topic: Management of Computing and Information Systems
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Information Systems Applications (incl. Internet)
  classification: QA76.9.C66
  classification: 004
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Computer Science, 6007
  identifier: 9783642120794
  identifier: http://dx.doi.org/10.1007/978-3-642-12079-4
  record info:
    record creation date: 100407
    record change date: 20151204154644.0
    record identifier: 978-3-642-12079-4