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来源类型FEEM working papers "Note di lavoro" series
规范类型论文
Network Formation and Disruption - An Experiment - Are Efficient Networks too Complex?
Sonja Brangewitz; Behnud Mir Djawadi; Angelika Endres; Britta Hoyer
发表日期2017
出处Economic Theory
出版年2017
语种英语
摘要We experimentally study the emergence of networks under a known external threat. To be more specific, we deal with the question if subjects in the role of a strategic Designer are able to form safe and efficient networks while facing a strategic Adversary who is going to attack their networks. This investigation relates theoretical predictions by Dziubinski and Goyal (2013) to actual observed behaviour. Varying the costs for protecting nodes, we designed and tested two treatments with different predictions for the equilibrium network. Furthermore, the influence of the subjects' farsightedness on their decision-making process was elicited and analysed. We find that while subjects are able to build safe networks in both treatments, equilibrium networks are only built in one of the two treatments. In the other treatment, predominantly safe networks are built but they are not efficient. Additionally, we find that farsightedness -as measured in our experiment- has no influence on whether subjects are able to build safe or efficient networks. *** Suggested citation: Brangewitz, S., B. M. Djawadi, A. Endres, B. Hoyer, (2017), 'Network Formation and Disruption - An Experiment - Are Efficient Networks too Complex?', Nota di Lavoro 30.2017, Milan, Italy: Fondazione Eni Enrico Mattei
特色分类D03;D85;C91
关键词Networks Experiment Network Design Network Defence Network Disruption
URLhttps://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/network-formation-and-disruption-an-experiment-are-efficient-networks-too-complex/
来源智库Fondazione Eni Enrico Mattei (Italy)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/118543
推荐引用方式
GB/T 7714
Sonja Brangewitz,Behnud Mir Djawadi,Angelika Endres,et al. Network Formation and Disruption - An Experiment - Are Efficient Networks too Complex?. 2017.
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