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  • Search: subject:"k-shell decomposition"
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Year of publication
Subject
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K-shell decomposition 2 k-shell decomposition 2 Centrality and ranking 1 Centrality measure 1 Competitive analysis 1 Complex network 1 Complex networks 1 Information diffusion 1 Latent dirichlet allocation 1 Network science 1 Sentiment analysis 1 Spreading 1 Spreading influence 1 Text analysis 1
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Undetermined 4
Type of publication
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Article 4
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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Undetermined 3 English 1
Author
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Bae, Joonhyun 1 Deng, Yong 1 Gao, Cai 1 Guo, Qiang 1 He, Shuguang 1 He, Zhen 1 Kim, Sangwook 1 Liu, Jian-Guo 1 Liu, Jie 1 Ren, Zhuo-Ming 1 Wei, Bo 1 Wei, Daijun 1 Zheng, Lu 1
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Physica A: Statistical Mechanics and its Applications 3 Electronic commerce research 1
Source
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RePEc 3 ECONIS (ZBW) 1
Showing 1 - 4 of 4
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A novel approach for product competitive analysis based on online reviews
He, Zhen; Zheng, Lu; He, Shuguang - In: Electronic commerce research 23 (2023) 4, pp. 2259-2290
Persistent link: https://www.econbiz.de/10014418162
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Weighted k-shell decomposition for complex networks based on potential edge weights
Wei, Bo; Liu, Jie; Wei, Daijun; Gao, Cai; Deng, Yong - In: Physica A: Statistical Mechanics and its Applications 420 (2015) C, pp. 277-283
the constructed weighted networks, we propose a weighted k-shell decomposition method (Wks). Further investigations on the …
Persistent link: https://www.econbiz.de/10011117828
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Identifying and ranking influential spreaders in complex networks by neighborhood coreness
Bae, Joonhyun; Kim, Sangwook - In: Physica A: Statistical Mechanics and its Applications 395 (2014) C, pp. 549-559
capturing the spreading ability of a node than are the degree and betweenness centralities. However, the k-shell decomposition …
Persistent link: https://www.econbiz.de/10010730352
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Ranking the spreading influence in complex networks
Liu, Jian-Guo; Ren, Zhuo-Ming; Guo, Qiang - In: Physica A: Statistical Mechanics and its Applications 392 (2013) 18, pp. 4154-4159
Identifying the node spreading influence in networks is an important task to optimally use the network structure and ensure the more efficient spreading in information. In this paper, by taking into account the shortest distance between a target node and the node set with the highest k-core...
Persistent link: https://www.econbiz.de/10011064538
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