Online Shopping Decisions Enhancement with Fuzzy Expert System
In: International journal of innovation in management, economics and social sciences: IJIMES, Band 1, Heft 2, S. 84-98
ISSN: 2783-2678
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In: International journal of innovation in management, economics and social sciences: IJIMES, Band 1, Heft 2, S. 84-98
ISSN: 2783-2678
In: Genocide studies and prevention: an international journal ; official journal of the International Association of Genocide Scholars, IAGS, Band 15, Heft 1, S. 97-114
ISSN: 1911-9933
In April 1994, in one of the most Christian nations in Africa, genocidal violence erupted culminating in the deaths of upwards of one million people. While thousands participated in mass killings, others choose not to, and rescued persecuted individuals instead. Relying on 45 in-depth interviews with individuals who rescued others in Rwanda, we demonstrate that religion is tied to rescue efforts in at least three ways: 1) through the creation of cognitive safety nets that enabled high-risk actions; 2) through religious practices that isolated individuals from the social networks of those committing the violence; and 3) through religious social networks where individuals encountered opportunities and accessed resources to rescue. The case of rescue in Rwanda illustrates how religiosity can support high-risk collective action, buffer individuals from recruitment to violent social movements, and can connect individuals in ways that enable them to save lives during extreme political violence.
This paper studies international migration from a complex-network perspective. We define the international-migration network (IMN) as the weighted-directed graph where nodes are world countries and links account for the stock of migrants originated in a given country and living in another country at a given point in time. We characterize the binary and weighted architecture of the network and its evolution over time in the period 1960-2000. We find that the IMN is organized around a modular structure characterized by a small-world pattern displaying disassortativity and high clustering, with power-law distributed weighted-network statistics. We also show that a parsimonious gravity model of migration can account for most of observed IMN topological structure. Overall, our results suggest that socio-economic, geographical and political factors are more important than local-network properties in shaping the structure of the IMN.
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In: Diskussionspapier des Instituts für Organisationsökonomik 11 (2022)
In: Lecture notes in physics 766
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