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2016 Fiscal Year Final Research Report

Complex networks viewed from risk distribution

Research Project

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Project/Area Number 26400388
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Mathematical physics/Fundamental condensed matter physics
Research InstitutionShizuoka University

Principal Investigator

Morita Satoru  静岡大学, 工学部, 教授 (20296750)

Project Period (FY) 2014-04-01 – 2017-03-31
Keywordsリスク分散 / 複雑ネットワーク / 確率モデル
Outline of Final Research Achievements

Consider pests living in many habitats and a network of these habitats. How do we control the pests in fluctuated environments? We found that the best strategy to enlarge the proliferation in the short term may be not effective in long term, in the case that the dispersion of the pest depends on the environment. In addition, considering the spatiotemporal correlation of the environmental variation, nonuniformity increases when the time correlation is strong, and non-uniformity weakens if the spatial correlation is strong. The number of pests is in each habitat is a power distribution, and non-uniformity can be measured by the exponent of the power distribution. In this model introducing spatiotemporal correlation at the same time, it was shown that the results are different between two cases: the cause of spatial correlation exists in habitats and in the whole environment.

Free Research Field

非線形科学

URL: 

Published: 2018-03-22  

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