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• W2017335767 abstract "Knowledge diffusion in social networks has extensively been studied in the communities of knowledge and innovation management and of complex networks. However, less attention has been paid on the coevolution of knowledge and network. In this work an agent-based model is proposed to study such coevolutionary dynamics. A set of agents, which are initially interconnected to form a random network, either exchange knowledge with their neighbors or move toward a new location through an edge-rewiring procedure. The activity of knowledge exchange between agents is determined by a knowledge transfer rule that two connecting agents exchange knowledge only if their knowledge distance is less than a given threshold. What’s more, within the threshold, knowledge exchange is more effective when the knowledge distance is greater. The activity of agent movement is determined by a neighborhood adjustment rule that one agent may move toward a remote location or reside in the local cluster. Through simulative analysis of this model, some interesting phenomena are observed. Essentially, the bi-directional influences between knowledge transfer and neighborhood adjustment give rise to the coevolution of the network structure and the diffusion of knowledge at the global level. In particular, the rise and fall of “small-world” structure of the network can be observed during the process of knowledge transfer." @default.
• W2017335767 created "2016-06-24" @default.
• W2017335767 creator A5021833788 @default.
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• W2017335767 creator A5081525599 @default.
• W2017335767 date "2015-05-01" @default.
• W2017335767 modified "2023-10-11" @default.
• W2017335767 title "A study on coevolutionary dynamics of knowledge diffusion and social network structure" @default.
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• W2017335767 cites W1971443941 @default.
• W2017335767 cites W1988727776 @default.
• W2017335767 cites W1991442303 @default.
• W2017335767 cites W1998878242 @default.
• W2017335767 cites W2002779084 @default.
• W2017335767 cites W2004098455 @default.
• W2017335767 cites W2008620264 @default.
• W2017335767 cites W2013926267 @default.
• W2017335767 cites W2016230462 @default.
• W2017335767 cites W2016529083 @default.
• W2017335767 cites W2016864105 @default.
• W2017335767 cites W2023293975 @default.
• W2017335767 cites W2026670651 @default.
• W2017335767 cites W2034990006 @default.
• W2017335767 cites W2039473144 @default.
• W2017335767 cites W2041919932 @default.
• W2017335767 cites W2044410547 @default.
• W2017335767 cites W2045630830 @default.
• W2017335767 cites W2045900341 @default.
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• W2017335767 cites W2080504048 @default.
• W2017335767 cites W2081441719 @default.
• W2017335767 cites W2083689991 @default.
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• W2017335767 cites W2091877193 @default.
• W2017335767 cites W2097399646 @default.
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• W2017335767 doi "https://doi.org/10.1016/j.eswa.2014.12.038" @default.
• W2017335767 hasPublicationYear "2015" @default.
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