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author:

Yin, Yanzhong (Yin, Yanzhong.) [1] | Wu, Qunyong (Wu, Qunyong.) [2] (Scholars:邬群勇) | Zhao, Zhiyuan (Zhao, Zhiyuan.) [3] (Scholars:赵志远) | Chen, Xuanyu (Chen, Xuanyu.) [4]

Indexed by:

SSCI EI Scopus

Abstract:

The flow of essential elements such as people, goods, and information through complex networks has become a critical factor in shaping urban dynamics and regional development. Quantifying location centrality plays an indispensable role not only in urban infrastructure planning but also in National central city planning. Two vital aspects should be considered for central nodes in flow-based complex networks: their impact on adjacent nodes and the diversity of nodes they affect. In this paper, we present a centrality measure index (C-index) that accounts for flow volume and flow directions, offering a high degree of interpretability. We applied the C-index to four public weighted complex networks, demonstrating that our method outperforms classical methods. Furthermore, we validated the effectiveness and advantages of C-index on quantifying location centrality both in inter-city and intra-city population mobility network. The centrality findings from the perspective of population mobility can reinforce guidelines for understanding National central cities and polycentric structure of cities, thereby facilitating policy-making of sustainable urban development.

Keyword:

Centrality measure Interactions between locations Population mobility networks Sustainable urban development

Community:

  • [ 1 ] [Yin, Yanzhong]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou 350108, Fujian, Peoples R China
  • [ 2 ] [Wu, Qunyong]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou 350108, Fujian, Peoples R China
  • [ 3 ] [Yin, Yanzhong]Fuzhou Univ, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, Fuzhou 350108, Peoples R China
  • [ 4 ] [Wu, Qunyong]Fuzhou Univ, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, Fuzhou 350108, Peoples R China
  • [ 5 ] [Zhao, Zhiyuan]Fuzhou Univ, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, Fuzhou 350108, Peoples R China
  • [ 6 ] [Chen, Xuanyu]Fuzhou Univ, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, Fuzhou 350108, Peoples R China
  • [ 7 ] [Yin, Yanzhong]Natl & Local Joint Engn Res Ctr Satellite Geospati, Fuzhou 350108, Peoples R China
  • [ 8 ] [Wu, Qunyong]Natl & Local Joint Engn Res Ctr Satellite Geospati, Fuzhou 350108, Peoples R China
  • [ 9 ] [Zhao, Zhiyuan]Natl & Local Joint Engn Res Ctr Satellite Geospati, Fuzhou 350108, Peoples R China
  • [ 10 ] [Chen, Xuanyu]Natl & Local Joint Engn Res Ctr Satellite Geospati, Fuzhou 350108, Peoples R China
  • [ 11 ] [Yin, Yanzhong]Acad Digital China, Fuzhou 350003, Fujian, Peoples R China
  • [ 12 ] [Wu, Qunyong]Acad Digital China, Fuzhou 350003, Fujian, Peoples R China
  • [ 13 ] [Zhao, Zhiyuan]Acad Digital China, Fuzhou 350003, Fujian, Peoples R China
  • [ 14 ] [Chen, Xuanyu]Acad Digital China, Fuzhou 350003, Fujian, Peoples R China

Reprint 's Address:

  • 邬群勇

    [Wu, Qunyong]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou 350108, Fujian, Peoples R China

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Source :

COMPUTERS ENVIRONMENT AND URBAN SYSTEMS

ISSN: 0198-9715

Year: 2025

Volume: 116

7 . 1 0 0

JCR@2023

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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