Research article

Modeling radicalization of terrorism under the influence of multiple ideologies

  • Received: 01 September 2021 Revised: 16 November 2021 Accepted: 18 November 2021 Published: 27 December 2021
  • MSC : 00A69, 97M60

  • This paper proposes a compartmental model with multiple ideologies based on the mechanism of overlapping infections of contagious diseases to describe the individual radicalization of terrorism process under the influence of two cooperative ideologies. The two ideologies attract their respective supporters in the same sensitive group. The supporters of each ideology can be divided into sympathizers and defenders according to extreme levels. Cross-interaction between the two types of sympathizers is introduced. Through the interaction, sympathizers can be influenced by other ideologies and thus become more extreme. Use a set of differential equations to mathematically simulate the update process. The research results show that ideologies with cooperative mechanisms are easier to establish themselves in a group and are difficult to eliminate. This makes it more difficult to curb radicalization of the population. Based on the model, several strategies are assessed to counter radicalization.

    Citation: Yiyi Wang, Fanliang Bu. Modeling radicalization of terrorism under the influence of multiple ideologies[J]. AIMS Mathematics, 2022, 7(3): 4833-4850. doi: 10.3934/math.2022269

    Related Papers:

  • This paper proposes a compartmental model with multiple ideologies based on the mechanism of overlapping infections of contagious diseases to describe the individual radicalization of terrorism process under the influence of two cooperative ideologies. The two ideologies attract their respective supporters in the same sensitive group. The supporters of each ideology can be divided into sympathizers and defenders according to extreme levels. Cross-interaction between the two types of sympathizers is introduced. Through the interaction, sympathizers can be influenced by other ideologies and thus become more extreme. Use a set of differential equations to mathematically simulate the update process. The research results show that ideologies with cooperative mechanisms are easier to establish themselves in a group and are difficult to eliminate. This makes it more difficult to curb radicalization of the population. Based on the model, several strategies are assessed to counter radicalization.



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    [1] A. Raza, M. Rafiq, D. Baleanu, M. S. Arifet, Numerical simulations for stochastic meme epidemic model, Adv. Differ. Equ., 2020 (2020), 176. https://doi.org/10.1186/s13662-020-02593-1 doi: 10.1186/s13662-020-02593-1
    [2] M. S. Arif, A. Raza, M. Rafiq, M. Bibi, A reliable numerical analysis for stochastic hepatitis b virus epidemic model with the migration effect, Iran. J. Sci. Technol., 43 (2019), 2477–2492. https://doi.org/10.1007/s40995-019-00726-0 doi: 10.1007/s40995-019-00726-0
    [3] A. Raza, Stochastic numerical analysis for impact of heavy alcohol consumption on transmission dynamics of gonorrhoea epidemic, CMC-Comput. Mater. Con., 62 (2020), 1125–1142. https://doi.org/10.32604/cmc.2020.08885 doi: 10.32604/cmc.2020.08885
    [4] A. Raza, M. Rafiq, N Ahmed, I Khan, K. S. Nisar, Z. Iqbal, A structure preserving numerical method for solution of stochastic epidemic model of smoking dynamics, CMC-Comput. Mater. Con., 65 (2020), 263–278. https://doi.org/10.32604/cmc.2020.011289 doi: 10.32604/cmc.2020.011289
    [5] C. Castillo-Chavez, B. Song, Bioterrorism: Mathematical modeling applications in homeland security 7, Philadelphia: SIAM, 2003. https://doi.org/10.1137/1.9780898717518.ch7
    [6] E. T. Camacho, The development and interaction of terrorist and fanatic groups, Commun. Nonlinear Sci., 18 (2013), 3086–3097. https://doi.org/10.1016/j.cnsns.2013.04.006 doi: 10.1016/j.cnsns.2013.04.006
    [7] M. Santoprete, F. Xu, Global stability in a mathematical model of de-radicalization, Physica A, 509 (2018), 151–161. https://doi.org/10.1016/j.physa.2018.06.027 doi: 10.1016/j.physa.2018.06.027
    [8] C. C. McCluskey, M. Santoprete, A bare-bones mathematical model of radicalization, J. Dyn. Games, 5 (2018), 243–264. https://doi.org/10.3934/jdg.2018016 doi: 10.3934/jdg.2018016
    [9] M. Martcheva, An introduction to mathematical epidemiology, Springer, 61 (2015). https://doi.org/10.1007/978-1-4899-7612-3
    [10] S. Galam, M. A. Javarone, Modeling radicalization phenomena in heterogeneous populations, PloS One, 11 (2016), e0155407. https://doi.org/10.1371/journal.pone.0155407 doi: 10.1371/journal.pone.0155407
    [11] F. J. Santonja, A. C. Tarazona, R. J. Villanueva, A mathematical model of the pressure of an extreme ideology on a society, Comput. Math. Appl., 56 (2008), 836–846. https://doi.org/10.1016/j.camwa.2008.01.001 doi: 10.1016/j.camwa.2008.01.001
    [12] M. Ehrhardt, M. Peco, A. C. Tarazona, R. J. Villanueva, J. Villanueva-Oller, Popular support to terrorist organizations: A short-term prediction based on a dynamic model applied to a real case, New York: Nova Science Publishers, 2013.
    [13] J. M. Post, Countering islamist militancy: An epidemiologic approach, Amsterdam: IOS Press, 2006,399–409.
    [14] M. Yacoubian, P. Stares, Rethinking the war on terror, United States Institute of Peace Briefing, 2005.
    [15] K. A. Brogden, J. M. Guthmiller, C. E. Taylor, Human polymicrobial infections, Lancet, 365 (2005), 253–255. https://doi.org/10.1016/S0140-6736(05)70155-0 doi: 10.1016/S0140-6736(05)70155-0
    [16] B. M. Peters, M. A. Jabra-Rizk, G. A. O'May, J. Costerton, M. E. Shirtliff, Polymicrobial interactions: Impact on pathogenesis and human disease, Clin. Microbiol. Rev., 25 (2012), 193–213. https://doi.org/10.1128/CMR.00013-11 doi: 10.1128/CMR.00013-11
    [17] J. A. Mccullers, The co-pathogenesis of influenza viruses with bacteria in the lung, Nat. Rev. Microbiol., 12 (2014), 252–262. https://doi.org/10.1038/nrmicro3231 doi: 10.1038/nrmicro3231
    [18] X. J. Yu, L. L. Pan, Y. Y. Su, T. Wu, S. J. Huang, Research progress in hepatitis B virus superinfection with hepatitis E virus, Chinese J. Virol., 35 (2019), 318–322.
    [19] B. L. Nacos, Terrorism and counterterrorism, Beijing: Social Sciences Literature Press, 2016,122. https://doi.org/10.4324/9781315641270
    [20] C. Wan, The origin and practice of the core ideology of the "Islamic State", Int. Sec. Res., 37 (2019), 76–107. http://dx.doi.org/10.14093/j.cnki.cn10-1132/d.2019.04.004 doi: 10.14093/j.cnki.cn10-1132/d.2019.04.004
    [21] P. Van den Driessche, J. Watmough, Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission, Math. Biosci., 180 (2002), 29–48. https://doi.org/10.1016/S0025-5564(02)00108-6 doi: 10.1016/S0025-5564(02)00108-6
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