Trends in Social Science: The Impact of Computational and Simulative Models
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-319-23938-5_8
Reference20 articles.
1. Albert, R., & Barabási, A.-L. (2002). Statistical mechanics of complex networks. Reviews of Modern Physics, 74(1), 47.
2. Andrighetto, G., Campenni, M., Cecconi, F., & Conte, R. (2010). The complex loop of norm emergence: A simulation model ‘Simulating interacting agents and social phenomena’ (pp. 19―35). Berlin: Springer.
3. Bankes, S. C. (2002). Agent-based modeling: A revolution?. Proceedings of the National Academy of Sciences of the United States of America, 99(Suppl 3), 7199–7200.
4. Barabási, A.-L., Albert, R., & Jeong, H. (1999). Mean-field theory for scale-free random networks. Physica A: Statistical Mechanics and Its Applications, 272(1), 173–187.
5. Barabási, A.-L., Albert, R., & Jeong, H. (2000). Scale-free characteristics of random networks: The topology of the world-wide web. Physica A: Statistical Mechanics and Its Applications, 281(1), 69–77.
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