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Multiscale online media simulation with SocialCube

Author

Listed:
  • Tarek Abdelzaher

    (University of Illinois)

  • Jiawei Han

    (University of Illinois)

  • Yifan Hao

    (University of Illinois)

  • Andong Jing

    (University of Illinois)

  • Dongxin Liu

    (University of Illinois)

  • Shengzhong Liu

    (University of Illinois)

  • Hoang Hai Nguyen

    (University of Illinois)

  • David M. Nicol

    (University of Illinois)

  • Huajie Shao

    (University of Illinois)

  • Tianshi Wang

    (University of Illinois)

  • Shuochao Yao

    (University of Illinois)

  • Yu Zhang

    (University of Illinois)

  • Omar Malik

    (Rensselaer Polytechnic Institute)

  • Stephen Dipple

    (Rensselaer Polytechnic Institute)

  • James Flamino

    (Rensselaer Polytechnic Institute)

  • Fred Buchanan

    (Rensselaer Polytechnic Institute)

  • Sam Cohen

    (Rensselaer Polytechnic Institute)

  • Gyorgy Korniss

    (Rensselaer Polytechnic Institute)

  • Boleslaw K. Szymanski

    (Rensselaer Polytechnic Institute)

Abstract

This paper describes the design, implementation, and early experiences with a novel agent-based simulator of online media streams, developed under DARPA’s SocialSim Program to extract and predict trends in information dissemination on online media. A hallmark of the simulator is its self-configuring property. Instead of requiring initial set-up, the input to the simulator constitutes data traces collected from the medium to be simulated. The simulator automatically learns from the data such elements as the number of agents involved, the number of objects involved, and the rate of introduction of new agents and objects. It also develops behavior models of simulated agents and objects, and their dependencies. These models are then used to run simulations allowing future extrapolation and “what if” analysis. An interesting property of the simulator is its multi-level abstraction capability that allows modeling social systems at various degrees of abstraction by lumping similar agents into larger categories. Preliminary experiences are discussed with using this system to simulate multiple social media platforms, including Twitter, Reddit, and Github.

Suggested Citation

  • Tarek Abdelzaher & Jiawei Han & Yifan Hao & Andong Jing & Dongxin Liu & Shengzhong Liu & Hoang Hai Nguyen & David M. Nicol & Huajie Shao & Tianshi Wang & Shuochao Yao & Yu Zhang & Omar Malik & Stephen, 2020. "Multiscale online media simulation with SocialCube," Computational and Mathematical Organization Theory, Springer, vol. 26(2), pages 145-174, June.
    • Handle: RePEc:spr:comaot:v:26:y:2020:i:2:d:10.1007_s10588-019-09303-7
    DOI: 10.1007/s10588-019-09303-7
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    References listed on IDEAS

    as
    1. Zhang, J. & Tong, L. & Lamberson, P.J. & Durazo-Arvizu, R.A. & Luke, A. & Shoham, D.A., 2015. "Leveraging social influence to address overweight and obesity using agent-based models: The role of adolescent social networks," Social Science & Medicine, Elsevier, vol. 125(C), pages 203-213.
    2. Derek W. Bunn and Fernando Oliveira, 2001. "An Application of Agent-based Simulation to the New Electricity Trading Arrangements of England and Wales," Computing in Economics and Finance 2001 93, Society for Computational Economics.
    3. Raberto, Marco & Cincotti, Silvano & Focardi, Sergio M. & Marchesi, Michele, 2001. "Agent-based simulation of a financial market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 299(1), pages 319-327.
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    Cited by:

    1. Sameera Horawalavithana & Nazim Choudhury & John Skvoretz & Adriana Iamnitchi, 2022. "Online discussion threads as conversation pools: predicting the growth of discussion threads on reddit," Computational and Mathematical Organization Theory, Springer, vol. 28(2), pages 112-140, June.

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    Keywords

    Online Media Simulation; Social Networks;

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