Advances in Social Computing

1. Front Matter

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2. Beyond Degree Distributions: Local to Global Structure of Social Contact Graphs

   • Stephen Eubank, Anil Vullikanti, Maleq Khan, Madhav Marathe, Chris Barrett

   Pages 1-1

3. Endogenous Market-Clearing Prices and Reference Point Adaptation

   • Arnaud Z. Dragicevic

   Pages 2-2

4. Modeling Effect of Leaders in Ethno-Religious Conflicts

   • Lingzhi Luo, Nilanjan Chakraborty, Katia Sycara

   Pages 3-12

5. Calibrating Subjective Probabilities Using Hierarchical Bayesian Models

   • Edgar C. Merkle

   Pages 13-22

6. State-Dependent Risk Preferences in Evolutionary Games

   • Patrick Roos, Dana Nau

   Pages 23-31

7. Social Learning and Cumulative Innovations in a Networked Group

   • Thomas N. Wisdom, Robert L. Goldstone

   Pages 32-41

8. Understanding Segregation Processes

   • Elizabeth Bruch

   Pages 42-43

9. Social Factors in Creating an Integrated Capability for Health System Modeling and Simulation

   • Paul P. Maglio, Melissa Cefkin, Peter J. Haas, Pat Selinger

   Pages 44-51

10. A System Dynamics Approach to Modeling the Sensitivity of Inappropriate Emergency Department Utilization

    • Joshua G. Behr, Rafael Diaz

    Pages 52-61

11. Using Social Network Analysis for Spam Detection

    • Dave DeBarr, Harry Wechsler

    Pages 62-69

12. Literature Search through Mixed-Membership Community Discovery

    • Tina Eliassi-Rad, Keith Henderson

    Pages 70-78

13. Predictability and Prediction for an Experimental Cultural Market

    • Richard Colbaugh, Kristin Glass, Paul Ormerod

    Pages 79-86

14. Macroeconomic Analysis of Universal Coverage in the U.S.

    • Zhigang Feng

    Pages 87-96

15. Projecting Sexual and Injecting HIV Risks into Future Outcomes with Agent-Based Modeling

    • Georgiy V. Bobashev, Robert J. Morris, William A. Zule

    Pages 97-97

16. Cultural Consensus Theory: Aggregating Continuous Responses in a Finite Interval

    • William H. Batchelder, Alex Strashny, A. Kimball Romney

    Pages 98-107

17. Information Overload and Viral Marketing: Countermeasures and Strategies

    • Jiesi Cheng, Aaron Sun, Daniel Zeng

    Pages 108-117

18. Using Model Replication to Improve the Reliability of Agent-Based Models

    • Wei Zhong, Yushim Kim

    Pages 118-127

19. Multiscale Comparison of Three-Dimensional Trajectories Based on the Curvature Maxima and Its Application to Medicine

    • Shoji Hirano, Shusaku Tsumoto

    Pages 128-137

20. A Knowledge Collaboration Network Model across Disciplines

    • Anna Nagurney, Qiang Qiang

    Pages 138-148

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.

• Open Source
• calculus
• classification
• data mining
• dynamische Systeme
• machine learning
• modeling
• security
• system modeling

• Department of Sociology, University of Hawaii, Honolulu, USA

  Sun-Ki Chai

• Air Force Research Laboratory, Rome Research Site, AFRL/RIEF, Rome, USA

  John J. Salerno

• Department of Behavioral and Social Sciences Research, National Institute of Health (NIH), Bethesda, USA

  Patricia L. Mabry

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