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on Network Economics |
| By: | Rui Vilela Mendes; Tanya Araújo |
| Abstract: | Networks with long-range connections obeying a distance-dependent power law of sufficiently small exponent display superdiffusion, Lévy flights and robustness properties very different from the scale-free networks. It has been proposed that these networks, found both in society and biology, be classified as a new structure, the fractional networks. Particular important examples are the social networks and the modular hierarchical brain networks where both short and long-range connections are present. The anomalous superdiffusive and the mixed diffusion behavior of these networks is studied here as well as its relation to the nature and density of the long-range connections. |
| Date: | 2022–01 |
| URL: | https://d.repec.org/n?u=RePEc:ise:isegwp:wp012022&r= |
| By: | Wang, Selena; Edgerton, Jared |
| Abstract: | Networks are resilient to internal failures or external attacks. The resiliency is often beneficial, but there are scenarios where the collapse of a social system, network, or organization would be beneficial to society, such as the dismantlement of terrorist, rebel, or organized crime groups. In this article, we develop a methodology to estimate the effect of knockouts and apply our method to the Islamic State recruitment network. Using our novel application, we demonstrate how coordinated attacks against recruiters might reduce the Islamic State's ability to mobilize new fighters. This analysis has direct implications for studies of network resilience and terrorist recruitment. |
| Date: | 2021–09–26 |
| URL: | https://d.repec.org/n?u=RePEc:osf:osfxxx:xu2ty&r= |