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A new evolutional model for institutional field knowledge flow network

Jinzhong Guo

Jinzhong Guo

School of Information Management, Xinjiang University of Finance and EconomicsUrumqi, China
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Guo, Jinzhong
, 
Kai Wang

Kai Wang

School of Information Management, Xinjiang University of Finance and EconomicsUrumqi, China
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Wang, Kai
, 
Xueqin Liao

Xueqin Liao

School of Information Management, Xinjiang University of Finance and EconomicsUrumqi, China
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Liao, Xueqin
 und 
Xiaoling Liu

Xiaoling Liu

School of Information Management, Xinjiang University of Finance and EconomicsUrumqi, China
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Liu, Xiaoling
  
06. Feb. 2024
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Artikel-Kategorie: Research Papers
Online veröffentlicht: 06. Feb. 2024
Seitenbereich: 101 - 123
Eingereicht: 12. Dez. 2023
Akzeptiert: 23. Jan. 2024
DOI: https://doi.org/10.2478/jdis-2024-0009
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© 2024 Jinzhong Guo et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

Statistics on the number of publications by research institutions.
Statistics on the number of publications by research institutions.

Figure 2.

Knowledge flow network construction.
Knowledge flow network construction.

Figure 3.

Part of the Institutional field knowledge Flow network in 2013.
Part of the Institutional field knowledge Flow network in 2013.

Figure 4.

Evolution features of nodes and edges in institutional field knowledge flow network.
Evolution features of nodes and edges in institutional field knowledge flow network.

Figure 5.

IKM model algorithm flow chart.
IKM model algorithm flow chart.

Figure 6.

Comparison of the rank of total publication, total citations and PageRank value between actual and simulated networks.
Comparison of the rank of total publication, total citations and PageRank value between actual and simulated networks.

Figure 7.

Comparison of total publication in the simulated networks and the actual network.
Comparison of total publication in the simulated networks and the actual network.

Figure 8.

Evolution of correlation coefficient from 1994 to 2013.
Evolution of correlation coefficient from 1994 to 2013.

KS test results of total publication between simulated networks and actual network

Type of simulated network model D P H0
IKM model 0.016 0.142 acceptance
BA model 0.348 2.972×10-309 rejection
DMS model 0.021 0.013 rejection
Sprache:
Englisch
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Informatik, Informationstechnik, Projektmanagement, Datanbanken und Data Mining
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