• Title/Summary/Keyword: Infection Interdiction Point

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Development of Modeling to Find the Hub Nodes on Growing Scale-free Network based on Stochastic Community Bridge Node Finder (확장하는 Scale-free 네트워크에서의 허브노드 도출을 위한 Stochastic Community Bridge Node Finder 개발)

  • Eun, Sang-Kyu;Kim, Soo-Jin;Bae, Seung-Jong;Kim, Dae-Sik
    • Journal of Korean Society of Rural Planning
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    • v.23 no.1
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    • pp.1-10
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    • 2017
  • The community bridge node finder, based on the stochastic method of network analysis, can compute hubs spot, which would enable the use of network structures with limited information. However, applying this node finder to heterogeneity networks, which are efficient to analyze the main farm complex in fields and the spread of infectious disease, is difficult. These problems, The most connected point that is called hub is often a major role in the heterogeneity network. In this study, we therefore improved the community bridge node finder to enable it to be applied to heterogeneity networks. We attempted to calculate the bridge node quantitatively by using the modularity of cohesion analysis method and the community bridge node finder. Application of the improved method to the HPAI(Highly Pathogenic Avian Influenza) spread in Korea 2008 produced a quarantine coefficient that was 4 - 37% higher than the quarantine coefficient obtained with the centrality method for the first 14 days after the HPAI outbreak. We concluded that the improved method has the ability to successfully calculate the bridge node in heterogeneity networks based on network structures with scant information, such as those describing the spread of infectious disease in domestic animals. And Our method should be capable to find main farm complex in fields.