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  • Search: subject:"GN algorithm"
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Year of publication
Subject
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Algorithm 2 Algorithmus 2 GN algorithm 2 Network 2 Netzwerk 2 community structure 2 complex network 2 stock market 2 Aktienmarkt 1 Business network 1 Börsenkurs 1 CoPS module partition 1 Complex systems 1 Complexity management 1 Komplexe Systeme 1 Komplexitätsmanagement 1 Product life cycle 1 Produktlebenszyklus 1 Shanghai 1 Share price 1 Social network 1 Soziales Netzwerk 1 Stock market 1 Theorie 1 Theory 1 Unternehmensnetzwerk 1 community detection 1 modified GN algorithm 1 product life cycle issue 1 weighted complex networks 1
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Online availability
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Free 2
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2 Article 1
Language
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English 3
Author
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Tuo, Mengjiao 2 Wu, Sen 2 Xiong, Deying 2 Chu, Dexin 1 Chu, Xuening 1 Li, Yupeng 1 Liu, Qinming 1
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Published in...
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International journal of production research 1 Journal of Industrial Engineering and Management (JIEM) 1 Journal of industrial engineering and management : JIEM 1
Source
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ECONIS (ZBW) 2 EconStor 1
Showing 1 - 3 of 3
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Network structure detection and analysis of Shanghai stock market
Wu, Sen; Tuo, Mengjiao; Xiong, Deying - In: Journal of Industrial Engineering and Management (JIEM) 8 (2015) 2, pp. 383-398
returns of stock price. It is built as undirected weighted at first. GN algorithm is selected to detect community structure …
Persistent link: https://www.econbiz.de/10011939205
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Cover Image
Network structure detection and analysis of Shanghai stock market
Wu, Sen; Tuo, Mengjiao; Xiong, Deying - In: Journal of industrial engineering and management : JIEM 8 (2015) 2, pp. 383-398
returns of stock price. It is built as undirected weighted at first. GN algorithm is selected to detect community structure …
Persistent link: https://www.econbiz.de/10011914233
Saved in:
Cover Image
An integrated module partition approach for complex products and systems based on weighted complex networks
Li, Yupeng; Chu, Xuening; Chu, Dexin; Liu, Qinming - In: International journal of production research 52 (2014) 15, pp. 4608-4622
Persistent link: https://www.econbiz.de/10010401369
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