Multiscale online media simulation with SocialCube

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 Dipple, James Flamino, Fred Buchanan, Sam Cohen, Gyorgy Korniss and Boleslaw K. Szymanski
Additional contact information
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

Computational and Mathematical Organization Theory, 2020, vol. 26, issue 2, No 1, 145-174

Abstract: 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.

Keywords: Online Media Simulation; Social Networks (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10588-019-09303-7

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