Research in Computational Social Science

Social Contagion

Social Networks

Group Dynamics

Collective Decision-Making

Collective Learning

Collective Intelligence

Peer-Reviewed Publications

  • Transition from Simple to Complex Contagion in Collective Decision-Making
    Horsevad N, Mateo D, Kooij RE, Barrat A & Bouffanais R
    Nature Communications  (13), 1442, 2022. [pdf] [doi]
  • The Effect of Network Connectivity on Exploration and Exploitation During Decentralized Collective Learning
    Kwa HL & Bouffanais R
    Proceedings of the 4th International Workshop on Agent-Based Modelling of Human Behaviour
    (ABMHuB’22)
    , online, 2022. [pdf] [web]
  • ‘Data dregs’ and its Implications for AI Ethics: Revelations From the Pandemic
    Lim SS & Bouffanais R
    AI & Ethics  (1), In Press, 2022. [pdf] [doi]
  • Interplay Between Success and Patterns of Human Collaboration: Case Study of a Thai Research Institute
    Fiscarelli AM, Brust MR, Bouffanais R, Piyatumrong A, Danois G & Bouvry P
    Scientific Reports  (11), 318, 2021. [pdf] [doi]
  • Tracking Multiple Fast Targets With Swarms: Interplay Between Social Interaction and Agent Memory
    Kwa HL, Kit JL & Bouffanais R
    Proceedings of the ALIFE 2021: The 2021 Conference on Artificial Life, July 19-23, online, pp. 62-71, 2021. [pdf] [doi]
  • Tailoring Exploration and Exploitation in Multi-Agent Systems with Short-Term Memory and Limited Social Interaction
    Kwa HL & Bouffanais R
    Proceedings of the 3rd International Workshop on Agent-Based Modelling of Human Behaviour (ABMHuB’21), online, July 19-23, 2021. [pdf] [web]
  • Cities – Try to Predict Superspreading Hotspots for COVID-19
    Bouffanais R & Lim SS
    Nature  (583), 352-355, 2020. [pdf] [doi]
  • Spatial Super-spreaders and Super-susceptibles in Human Movement Networks
    Chin WCB & Bouffanais R
    Scientific Reports  (10), 18642, 2020. [pdf] [doi]
  • Optimal Network Topology for Responsive Collective Behavior
    Mateo D, Horsevad N, Hassani V, Chamanbaz M & Bouffanais R
    Science Advances  (5), eaau0999, 2019. [pdf] [doi]
  • From Senseless Swarms to Smart Mobs: Tuning Networks for Prosocial Behavior
    Lim SS & Bouffanais R
    IEEE Technology and Society Magazine  (38):4, 17-19, 2019. [pdf] [doi]
  • Are the Different Layers of a Social Network Conveying the Same Information?
    Manivannan A, Yow WQ, Bouffanais R & Barrat A
    EPJ Data Science  (7), 34, 2018. [pdf] [doi]
  • Effect of Correlations in Swarms on Collective Response
    Mateo D, Kuan YK & Bouffanais R
    Scientific Reports  (7), 10388, 2017. [pdf] [doi]
  • Excess of Social Activity Reduces the Responsiveness of Swarms
    Mateo D and Bouffanais R
    Chapter 18: In Complex Systems: Theory and Applications (Eds. G. Rzveski and C.A. Brebbia), WIT Press, pp. 172-180, Print ISBN: 978-1-78466-235-6, eBook ISBN: 978-1-78466-236-3, 2017. [pdf] [doi]

Op-Eds

  • Computational Diplomacy – The Science of an Art?
    R. Bouffanais & S. S. Lim, The Interpreter  (Australia), Sep 15, 2022. [pdf] [web]
  • Fighting for Data Dregs – And Losing the Fight Against Digital Violence
    S. S. Lim & R. Bouffanais, Asia Global  (Hong Kong), May 26, 2022. [pdf] [web]
  • When the Mob Rallies: The Gamestop Stock Rush and Complex Contagions
    R. Bouffanais & S. S. Lim, Asia Global  (Hong Kong), March 3, 2021. [pdf] [web]
  • Hoarding Toilet Paper: The Mystery of Such Panic Buying Explained
    R. Bouffanais & S. S. Lim, The Straits Times  (Singapore), February 14, 2020. [pdf] [web]
  • How to Fight Fake News: Tech Has the Answers
    S. S. Lim & R. Bouffanais, The Straits Times  (Singapore), July 9, 2019. [pdf] [web]

Complete publication list in PDF [here]