Percolation on the institute-enterprise R&D collaboration networks

Realistic network-like systems are usually composed of multiple networks with interacting relations such as school-enterprise research and development (R&D) collaboration networks. Here, we study the percolation properties of a special class of R&D collaboration network, namely institute-ent...

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Main Authors: Li Chenguang, Zhang Yongan
Format: Article
Language:English
Published: De Gruyter 2015-01-01
Series:Open Physics
Subjects:
Online Access:https://doi.org/10.1515/phys-2015-0008
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author Li Chenguang
Zhang Yongan
author_facet Li Chenguang
Zhang Yongan
author_sort Li Chenguang
collection DOAJ
description Realistic network-like systems are usually composed of multiple networks with interacting relations such as school-enterprise research and development (R&D) collaboration networks. Here, we study the percolation properties of a special class of R&D collaboration network, namely institute-enterprise R&D collaboration networks (IERDCNs). We introduce two actual IERDCNs to show their structural properties, and we present a mathematical framework based on generating functions for analyzing an interacting network with any connection probability. Then,we illustrate the percolation threshold and structural parameter arithmetic in the sub-critical and supercritical regimes.We compare the predictions of our mathematical framework and arithmetic to data for two real R&D collaboration networks and a number of simulations. We find that our predictions are in remarkable agreement with the data. We show applications of the framework to electronics R&D collaboration networks
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spelling doaj.art-0e0f5bc64df54d8c959b859f8df7145d2022-12-21T18:43:31ZengDe GruyterOpen Physics2391-54712015-01-0113110.1515/phys-2015-0008phys-2015-0008Percolation on the institute-enterprise R&D collaboration networksLi Chenguang0Zhang Yongan1School of Economics and Management, North China University of Technology, 100144 Beijing, P. R. ChinaEconomics and Management School, Beijing University of Technology, 100124 Beijing, P. R. ChinaRealistic network-like systems are usually composed of multiple networks with interacting relations such as school-enterprise research and development (R&D) collaboration networks. Here, we study the percolation properties of a special class of R&D collaboration network, namely institute-enterprise R&D collaboration networks (IERDCNs). We introduce two actual IERDCNs to show their structural properties, and we present a mathematical framework based on generating functions for analyzing an interacting network with any connection probability. Then,we illustrate the percolation threshold and structural parameter arithmetic in the sub-critical and supercritical regimes.We compare the predictions of our mathematical framework and arithmetic to data for two real R&D collaboration networks and a number of simulations. We find that our predictions are in remarkable agreement with the data. We show applications of the framework to electronics R&D collaboration networkshttps://doi.org/10.1515/phys-2015-0008networkspercolationgenerating function64.60.aq64.60.ah 64.60.-i 89.75.fb
spellingShingle Li Chenguang
Zhang Yongan
Percolation on the institute-enterprise R&D collaboration networks
Open Physics
networks
percolation
generating function
64.60.aq
64.60.ah
64.60.-i
89.75.fb
title Percolation on the institute-enterprise R&D collaboration networks
title_full Percolation on the institute-enterprise R&D collaboration networks
title_fullStr Percolation on the institute-enterprise R&D collaboration networks
title_full_unstemmed Percolation on the institute-enterprise R&D collaboration networks
title_short Percolation on the institute-enterprise R&D collaboration networks
title_sort percolation on the institute enterprise r d collaboration networks
topic networks
percolation
generating function
64.60.aq
64.60.ah
64.60.-i
89.75.fb
url https://doi.org/10.1515/phys-2015-0008
work_keys_str_mv AT lichenguang percolationontheinstituteenterpriserdcollaborationnetworks
AT zhangyongan percolationontheinstituteenterpriserdcollaborationnetworks