A Transportation Network Stability Analysis Method Based On Betweenness Centrality Entropy Maximization

被引:0
|
作者
Zhang, Zundong [1 ]
Ma, Weixin [1 ]
Zhang, Zhaoran [1 ]
Xiong, Changzhen [1 ]
机构
[1] North China Univ Technol, Beijing Key Lab Urban Rd Transportat Intelligent, Beijing 100144, Peoples R China
关键词
Transportation Networks; Fast BEM; Structure Stability Analysis; COMPLEX NETWORKS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In order to analyze the structural stability of transportation networks, a dynamic structure optimization method combining with betweenness and network entropy, named Fast Betweenness Entropy Maximization (Fast BEM), is proposed in this paper, which uses iterative calculation process to enhance stability of network structure, and finally reaches a stable structure of transportation networks. The Fast BEM improves the speed of convergence on the basis of the existing open shortest path first algorithm, despite an increase in the work done in each optimization iteration. But the number of optimized iterations and the running time are reduced in general. Consequently, the stable structure can be found more quickly. The experiments show that by using the Fast BEM, the convergence speed tends to be stable to reduce volatility, and the effectiveness of this algorithm is verified.
引用
收藏
页码:2741 / 2745
页数:5
相关论文
共 50 条
  • [31] Betweenness centrality based connectivity aware routing algorithm for prolonging network lifetime in wireless sensor networks
    Jain, Aarti
    WIRELESS NETWORKS, 2016, 22 (05) : 1605 - 1624
  • [32] Congestion-aware core mapping for Network-on-Chip based systems using betweenness centrality
    Maqsood, Tahir
    Bilal, Kashif
    Madani, Sajjad A.
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2018, 82 : 459 - 471
  • [33] Betweenness centrality based connectivity aware routing algorithm for prolonging network lifetime in wireless sensor networks
    Aarti Jain
    Wireless Networks, 2016, 22 : 1605 - 1624
  • [34] On efficient use of entropy centrality for social network analysis and community detection
    Nikolaev, Alexander G.
    Razib, Raihan
    Kucheriya, Ashwin
    SOCIAL NETWORKS, 2015, 40 : 154 - 162
  • [35] Modeling and entropy based control of urban transportation network
    Zhou, Huide
    Bouyekhf, Rachid
    El Moudni, Adbellah
    CONTROL ENGINEERING PRACTICE, 2013, 21 (10) : 1369 - 1376
  • [36] An algorithm for modularity analysis of directed and weighted biological networks based on edge-betweenness centrality
    Yoon, Jeongah
    Blumer, Anselm
    Lee, Kyongbum
    BIOINFORMATICS, 2006, 22 (24) : 3106 - 3108
  • [37] Optimal Flow Distribution of Military Supply Transportation Based on Network Analysis and Entropy Measurement
    Zhou, Wei
    Chen, Jin
    Ding, Bingqing
    ENTROPY, 2018, 20 (06)
  • [38] Research on the Influence of Transportation Network Centrality on Housing Price Based on Big Data
    Gao, Feng
    Zhang, Zhibin
    5TH INTERNATIONAL CONFERENCE ON ALGORITHMS, COMPUTING AND SYSTEMS, ICACS 2021, 2021, : 28 - 32
  • [39] A Novel Centrality Cascading Based Edge Parameter Evaluation Method for Robust Influence Maximization
    Deng, Xiaolong
    Dou, Yingtong
    Lv, Tiejun
    Quoc Viet Hung Nguyen
    IEEE ACCESS, 2017, 5 : 22119 - 22131
  • [40] Critical airports of the world air sector network based on the centrality and entropy theory
    Wang, Yun
    Meng, Kou
    Wu, Huidong
    Hu, Jun
    Wu, Peng
    INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2021, 35 (06):