G2TT
来源类型FEEM working papers "Note di lavoro" series
规范类型论文
Optimal Information Transmission in Organizations: Search and Congestion
Antonio Cabrales; Àlex Arenas; Albert Díaz-Guilera; Roger Guimerà
发表日期2004
出处Climate Change and Sustainable Development
出版年2004
语种英语
摘要We propose a stylized model of a problem-solving organization whose internal communication structure is given by a fixed network. Problems arrive randomly anywhere in this network and must find their way to their respective "specialized solvers" by relying on local information alone. The organization handles multiple problems simultaneously. For this reason, the process may be subject to congestion. We provide a characterization of the threshold of collapse of the network and of the stock of floating problems (or average delay) that prevails below that threshold. We build upon this characterization to address a design problem: the determination of what kind of network architecture optimizes performance for any given problem arrival rate. We conclude that, for low arrival rates, the optimal network is very polarized (i.e. star-like or "centralized"), whereas it is largely homogenous (or "decentralized") for high arrival rates. We also show that, if an auxiliary assumption holds, the transition between these two opposite structures is sharp and they are the only ones to ever qualify as optimal. Keywords: Networks, information transmission, search, organization design.
特色分类D20,D24,D83,L22,L23
关键词Networks,Information transmission,Search,Organization design
URLhttps://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/optimal-information-transmission-in-organizations-search-and-congestion/
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/117028
推荐引用方式
GB/T 7714
Antonio Cabrales,Àlex Arenas,Albert Díaz-Guilera,et al. Optimal Information Transmission in Organizations: Search and Congestion. 2004.
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