Weighted heterogeneous networks with the same weight sequence

被引:1
|
作者
Xing, Changming [1 ]
Yang, Lin [2 ]
Zhang, Yigong [1 ]
Wang, Qianqian [3 ]
机构
[1] Shandong Univ Finance & Econ, Sch Continuing Educ, Jinan, Peoples R China
[2] Shandong Inst Commerce & Technol, Sch Business Adm, Jinan, Peoples R China
[3] Shandong Univ Finance & Econ, Sch Informat Sci & Engn, Jinan, Peoples R China
基金
中国国家自然科学基金;
关键词
network model; weighted networks; topological property; weight distribution;
D O I
10.1109/iceict.2019.8846337
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Generally, the topological property has a profound influence on various dynamical process occurring on networks. However, whether the topological property can characterize the dynamic process of networks separately or jointly is still unknown. The problem needs to be verified based on some special networks with the same topological property. Aiming at the requirement, a class of weighted heterogeneous networks with the same weight sequence are proposed. We solve the main structural characteristics of our networks. We hope that the networks presented in this paper could help us study the influence of weight distribution on network dynamics.
引用
收藏
页码:20 / 23
页数:4
相关论文
共 50 条
  • [41] Mining weighted sequential patterns in a sequence database with a time-interval weight
    Chang, Joong Hyuk
    KNOWLEDGE-BASED SYSTEMS, 2011, 24 (01) : 1 - 9
  • [42] The weighted mean operator on l(2) with weight sequence w(n) = (n
    Rhaly, H. C., Jr.
    Rhoades, B. E.
    STUDIA UNIVERSITATIS BABES-BOLYAI MATHEMATICA, 2014, 59 (03): : 365 - 368
  • [43] Weighted directed networks with a differentially private bi-degree sequence
    Wang, Qiuping
    Zhang, Xiao
    Luo, Jing
    Ouyang, Yang
    Wang, Qian
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2022, 51 (02) : 285 - 300
  • [44] A weight's agglomerative method for detecting communities in weighted networks based on weight's similarity
    沈毅
    Chinese Physics B, 2011, 20 (04) : 175 - 182
  • [45] A weight's agglomerative method for detecting communities in weighted networks based on weight's similarity
    Yi, Shen
    CHINESE PHYSICS B, 2011, 20 (04)
  • [46] Quantifying the Effects of Topology and Weight for Link Prediction in Weighted Complex Networks
    Liu, Bo
    Xu, Shuang
    Li, Ting
    Xiao, Jing
    Xu, Xiao-Ke
    ENTROPY, 2018, 20 (05)
  • [47] APPROACH TO CREATE WEIGHTED SCALE-FREE NETWORKS: THE WEIGHT REDISTRIBUTION
    Meng, Qing-Kuan
    Zhu, Jian-Yang
    INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2011, 25 (09): : 1275 - 1282
  • [49] Optimal Weighted Data Gathering in Multi-Hop Heterogeneous Sensor Networks
    Li, Junlin
    AlRegib, Ghassan
    2008 IEEE MILITARY COMMUNICATIONS CONFERENCE: MILCOM 2008, VOLS 1-7, 2008, : 2081 - 2087
  • [50] A Practical Channel Allocation Scheme Based on the Weighted Conflict Graph in Heterogeneous Networks
    Zhang, Shan
    Zhou, Sheng
    Niu, Zhisheng
    Cheng, Yu
    2014 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA (ICCC), 2014, : 615 - 620