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Leveraging social media data in agent-based simulations

Authors:

Jose J. Padilla,

Saikou Y. Diallo,

Brit NicholsonAuthors Info & Claims

ANSS '14: Proceedings of the 2014 Annual Simulation Symposium

Article No.: 17, Pages 1 - 8

Published: 13 April 2014 Publication History

Abstract

One of the limitations of agent-based simulations when modeling human behavior is the lack of appropriate input data to move simulations from theoretical to practical. The appropriateness ranges from data relevant to individuals (granularity) to identifying percentages of a population that abide by certain characteristics or behavior. In some instances characteristics about these data may be assumed or placed under "ranges" based on a probability distribution within a simulation. This paper briefs on current research efforts pertaining to the use of social media data to provide empirical grounding of agent-based simulations. Three examples of how data from social media can be used in agent-based modeling are presented: 1) using large data set processing and sentiment analysis to identify preferences of a population (initialization of an agent population), 2) using agents with machine learning capabilities to learn mobility patterns from individuals in a population (initialization of individual agents in a population), and 3) identifying preferences and communication patterns based on graph analysis (agent relation). Current research indicates that these techniques show promise for creating smart agents to complement those based on complex rule-based behavior, especially using a simulation's what-if capabilities.

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Cited By

Alshahwan NBlasi ABojarczuk KCiancone AGucevska NHarman MKrolikowski MRojas RMartac DSchellaert SUstiuzhanina KHarper IJia YLewis WRoychoudhury APaiva AAbreu RStorey MAniche MNagappan N(2024)Enhancing Testing at Meta with Rich-State Simulated PopulationsProceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice10.1145/3639477.3639729(1-12)Online publication date: 14-Apr-2024
https://dl.acm.org/doi/10.1145/3639477.3639729
Diallo SLynch CRechowicz KZacharewicz GJohansson BJain S(2018)How to create empathy and understandingProceedings of the 2018 Winter Simulation Conference10.5555/3320516.3320677(1286-1297)Online publication date: 9-Dec-2018
https://dl.acm.org/doi/10.5555/3320516.3320677
Mustafee NPowell JBrailsford SDiallo SPadilla JTolk A(2015)Hybrid simulation studies and hybrid simulation systemsProceedings of the 2015 Winter Simulation Conference10.5555/2888619.2888809(1678-1692)Online publication date: 6-Dec-2015
https://dl.acm.org/doi/10.5555/2888619.2888809

Index Terms

Leveraging social media data in agent-based simulations
1. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence
      1. Multi-agent systems
  2. Modeling and simulation
    1. Simulation types and techniques
      1. Distributed simulation
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Web-based interaction

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cover image ACM Other conferences

ANSS '14: Proceedings of the 2014 Annual Simulation Symposium

April 2014

138 pages

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(SCS): The Society for Modeling and Simulation International

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SIGSIM: ACM Special Interest Group on Simulation and Modeling

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Society for Computer Simulation International

San Diego, CA, United States

Publication History

Published: 13 April 2014

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SpringSim '14

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SpringSim '14: 2014 Spring Simulation Multiconference

April 13 - 16, 2014

Florida, Tampa

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Cited By

Alshahwan NBlasi ABojarczuk KCiancone AGucevska NHarman MKrolikowski MRojas RMartac DSchellaert SUstiuzhanina KHarper IJia YLewis WRoychoudhury APaiva AAbreu RStorey MAniche MNagappan N(2024)Enhancing Testing at Meta with Rich-State Simulated PopulationsProceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice10.1145/3639477.3639729(1-12)Online publication date: 14-Apr-2024
https://dl.acm.org/doi/10.1145/3639477.3639729
Diallo SLynch CRechowicz KZacharewicz GJohansson BJain S(2018)How to create empathy and understandingProceedings of the 2018 Winter Simulation Conference10.5555/3320516.3320677(1286-1297)Online publication date: 9-Dec-2018
https://dl.acm.org/doi/10.5555/3320516.3320677
Mustafee NPowell JBrailsford SDiallo SPadilla JTolk A(2015)Hybrid simulation studies and hybrid simulation systemsProceedings of the 2015 Winter Simulation Conference10.5555/2888619.2888809(1678-1692)Online publication date: 6-Dec-2015
https://dl.acm.org/doi/10.5555/2888619.2888809

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