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Analyzing Radicalism Spread Using Agent-Based Social Simulation

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Engineering Multi-Agent Systems (EMAS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11375))

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Abstract

This work presents an agent-based model of radicalization growth based on social theories. The model aims at improving the understanding of the influence of social links on radicalism spread. The model consists of two main entities, a Network Model and an Agent Model. The Network Model updates the agent relationships based on proximity and homophily; it simulates information diffusion and updates the agents’ beliefs. The model has been evaluated and implemented in Python with the agent-based social simulator Soil. In addition, it has been evaluated through sensitivity analysis.

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Notes

  1. 1.

    https://github.com/gsi-upm/soil.

  2. 2.

    https://github.com/gsi-upm/soil/tree/master/examples/terrorism.

  3. 3.

    https://pypi.python.org/pypi/nxsim.

  4. 4.

    http://netflix.github.io/falcor/documentation/jsongraph.html.

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Acknowledgments

This work is supported by the Spanish Ministry of Economy and Competitiveness under the R&D projects SEMOLA (TEC2015-68284-R), by the Regional Government of Madrid through the project MOSI-AGIL-CM (grant P2013/ICE-3019, co-funded by EU Structural Funds FSE and FEDER); by the European Union through the project Trivalent (Grant Agreement no: 740934) and by the Ministry of Education, Culture and Sport through the mobility research stay grant PRX17/00417.

Author information

Authors and Affiliations

  1. Intelligent Systems Group, Universidad Politécnica de Madrid, Madrid, Spain

    Tasio Méndez, J. Fernando Sánchez-Rada & Carlos A. Iglesias

  2. Krasnow Institute, GMU Computational Social, Fairfax, VA, USA

    Paul Cummings

Authors
  1. Tasio Méndez
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  2. J. Fernando Sánchez-Rada
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  3. Carlos A. Iglesias
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  4. Paul Cummings
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Corresponding author

Correspondence to Carlos A. Iglesias .

Editor information

Editors and Affiliations

  1. Department of Computer Science, KU Leuven, Leuven, Belgium

    Danny Weyns

  2. Department of Computer Science, Bioengineering, Robotics and Systems Engineering, Università degli Studi di Genova, Genoa, Italy

    Viviana Mascardi

  3. Department of Computer Science and Engineering, University of Bologna, Cesena, Forli/Cesana, Italy

    Alessandro Ricci

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Méndez, T., Sánchez-Rada, J.F., Iglesias, C.A., Cummings, P. (2019). Analyzing Radicalism Spread Using Agent-Based Social Simulation. In: Weyns, D., Mascardi, V., Ricci, A. (eds) Engineering Multi-Agent Systems. EMAS 2018. Lecture Notes in Computer Science(), vol 11375. Springer, Cham. https://doi.org/10.1007/978-3-030-25693-7_14

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  • DOI: https://doi.org/10.1007/978-3-030-25693-7_14

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  • Print ISBN: 978-3-030-25692-0

  • Online ISBN: 978-3-030-25693-7

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