Abstract
We use an agent-based model to model a dynamic network that considers the rate at which Islamism will spread globally. We define Islamism as the organized political trend that seeks to solve modern political problems by referencing Muslim teachings. The trend is also associated with Radical Islam or Islamic Fundamentalism and is often revolutionary and violent in nature. The model assumes that Islamism spreads from state to state based on existing relations that replicate those defining global trade and communications. Islamism must diffuse through these existing networks. Since Islamism is inimical to western liberal values such as women’s rights and social tolerance, the diffusion of Islamism is hindered by a strong commitment to western liberal values. We include all countries in the analysis, scored on the degree to which they are committed to Islamism and western liberal values.
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Appendices
Appendix 1. Dendrogram Representing Ties Between States
Appendix 2. Islamism Scores
Country | Islamism |
---|---|
Afghanistan | 4 |
Albania | 1 |
Algeria | 4 |
Andorra | 0 |
Angola | 0 |
Antigua and Barbuda | 0 |
Argentina | 0 |
Armenia | 0 |
Australia | 0 |
Austria | 0 |
Azerbaijan | 2 |
Bahamas | 0 |
Bahrain | 4 |
Bangladesh | 4 |
Barbados | 0 |
Belarus | 0 |
Belgium | 0 |
Belize | 0 |
Benin | 0 |
Bhutan | 0 |
Bolivia | 0 |
Bosnia and Herzegovina | 0 |
Botswana | 0 |
Brazil | 0 |
Brunei Darussalem | 4 |
Bulgaria | 0 |
Burkina Faso | 2 |
Burma | 0 |
Burundi | 0 |
Cambodia | 0 |
Cameroon | 0 |
Canada | 0 |
Cape Verde | 0 |
Central African Republic | 0 |
Chad | 2 |
Chile | 0 |
China | 0 |
Columbia | 0 |
Comoros | 3 |
Congo | 0 |
Congo, Democratic Republic of | 0 |
Costa Rica | 0 |
Cote d’Ivoire | 0 |
Croatia | 0 |
Cuba | 0 |
Cyprus | 0 |
Czech Republic | 0 |
Denmark | 0 |
Djibouti | 2 |
Dominica | 0 |
Dominican Republic | 0 |
Ecuador | 0 |
Egypt | 4 |
El Salvador | 0 |
Equatorial Guinea | 0 |
Eritrea | 0 |
Estonia | 0 |
Ethiopia | 0 |
Fiji | 0 |
Finland | 0 |
France | 0 |
Gabon | 0 |
Gambia | 2 |
Georgia | 0 |
Germany | 0 |
Ghana | 0 |
Greece | 0 |
Grenada | 0 |
Guatamala | 0 |
Guinea | 2 |
Guinea-Bissau | 0 |
Guyana | 0 |
Haiti | 0 |
Holy See (Vatican City) | 0 |
Honduras | 0 |
Hungary | 0 |
Iceland | 0 |
India | 0 |
Indonesia | 1 |
Iran | 4 |
Iraq | 4 |
Ireland | 0 |
Israel | 0 |
Italy | 0 |
Jamaica | 0 |
Japan | 0 |
Jordan | 4 |
Kazakhstan | 2 |
Kenya | 0 |
Kiribati | 0 |
Korea, North | 0 |
Korea, South | 0 |
Kosovo | 2 |
Kuwait | 4 |
Kyrgyzstan | 2 |
Laos | 0 |
Latvia | 0 |
Lebanon | 1 |
Lesotho | 0 |
Liberia | 0 |
Libya | 4 |
Liechtenstein | 0 |
Lithuania | 0 |
Luxembourg | 0 |
Macedonia | 0 |
Madagascar | 0 |
Malawi | 0 |
Malaysia | 4 |
Maldives | 4 |
Mali | 2 |
Malta | 0 |
Marshall Islands | 0 |
Mauritania | 4 |
Mauritius | 0 |
Mexico | 0 |
Micronesia | 0 |
Moldova | 0 |
Monaco | 0 |
Mongolia | 0 |
Montenegro | 0 |
Morocco | 4 |
Mozambique | 0 |
Namibia | 0 |
Nauru | 0 |
Nepal | 0 |
Netherlands | 0 |
New Zealand | 0 |
Nicaragua | 0 |
Niger | 2 |
Nigeria | 3 |
Norway | 0 |
Oman | 4 |
Pakistan | 4 |
Palau | 0 |
Panma | 0 |
Papua New Guinea | 0 |
Paraguay | 0 |
Peru | 0 |
Phillipines | 0 |
Poland | 0 |
Portugal | 0 |
Qatar | 4 |
Romania | 0 |
Russia | 0 |
Rwanda | 0 |
St. Kitts and Nevis | 0 |
St. Lucia | 0 |
St. Vincent and The Grenadines | 0 |
Samoa | 0 |
San Marino | 0 |
Sao Tome and Principe | 0 |
Saudi Arabia | 4 |
Senegal | 2 |
Serbia | 0 |
Seychelles | 0 |
Sierra Leone | 1 |
Singapore | 0 |
Slovakia | 0 |
Slovenia | 0 |
Solomon Islands | 0 |
Somalia | 4 |
South Africa | 0 |
South Sudan | 0 |
Spain | 0 |
Sri Lanka | 0 |
Sudan | 3 |
Suriname | 0 |
Swaziland | 0 |
Sweden | 0 |
Switzerland | 0 |
Syria | 1 |
Taiwan | 0 |
Tajikistan | 2 |
Tanzania | 0 |
Thailand | 0 |
Timor-Leste | 0 |
Togo | 0 |
Tonga | 0 |
Trinidad and Tobago | 0 |
Tunisia | 4 |
Turkey | 2 |
Turkmenistan | 2 |
Tuvalu | 0 |
Uganda | 0 |
Ukraine | 0 |
United Arab Emirates | 4 |
United Kingdom | 0 |
United States | 0 |
Uruguay | 0 |
Uzbekistan | 2 |
Vanuatu | 0 |
Venezuela | 0 |
Vietnam | 0 |
Yemen | 4 |
Zambia | 0 |
Zimbabwe | 0 |
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Eichman, M.L., Rolfsen, J.A., Wierman, M.J., Mordeson, J.N., Clark, T.D. (2014). The Global Spread of Islamism: An Agent-Based Computer Model. In: Pedrycz, W., Chen, SM. (eds) Social Networks: A Framework of Computational Intelligence. Studies in Computational Intelligence, vol 526. Springer, Cham. https://doi.org/10.1007/978-3-319-02993-1_18
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