Study on Dynamical Behavior in Complex Network with Community Structure

被引：0
|
作者：
Liang, Xuefeng [1 ]
机构：
[1] Tianshui Normal Univ, Sch Math & Stat, Tianshui 741001, Peoples R China
来源：
PROCEEDINGS OF THE 2017 7TH INTERNATIONAL CONFERENCE ON APPLIED SCIENCE, ENGINEERING AND TECHNOLOGY (ICASET 2017) | 2017年 / 122卷
关键词：
Complex network; Community structure; Synchronizability; SYNCHRONIZATION; OSCILLATORS;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The impact of community structure on synchronization behavior of oscillatory complex network is investigated, focusing on the community number. Numerical simulations show that the bigger community number, the stronger synchronizability of power network will be. That is, the synchronizability of the network is significantly influenced by community numbers.
引用
收藏
页码：183 / 186
页数：4
相关论文
共 50 条
  • [1] Dynamical evolution of the community structure of complex earthquake network
    Abe, Sumiyoshi
    Suzuki, Norikazu
    [J]. EPL, 2012, 99 (03)
  • [2] Identification of Dynamical Behavior of Pseudoperiodic Time Series by Network Community Structure
    Han, Xinyu
    Zhao, Yi
    Small, Michael
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2019, 66 (11) : 1905 - 1909
  • [3] A Study of the Community Structure of a Complex Software Network
    Concas, Giulio
    Monni, Cristina
    Orru, Matteo
    Tonelli, Roberto
    [J]. 2013 4TH INTERNATIONAL WORKSHOP ON EMERGING TRENDS IN SOFTWARE METRICS (WETSOM), 2013, : 14 - 20
  • [4] Effect of the structure of a complex network on the properties of the dynamical processes on it
    S. L. Ginzburg
    A. V. Nakin
    N. E. Savitskaya
    [J]. JETP Letters, 2010, 90 : 775 - 779
  • [5] Effect of the Structure of a Complex Network on the Properties of the Dynamical Processes on It
    Ginzburg, S. L.
    Nakin, A. V.
    Savitskaya, N. E.
    [J]. JETP LETTERS, 2009, 90 (12) : 775 - 779
  • [6] Book embedding of complex network with community structure
    Zhao, Bin
    Chen, Wengu
    Meng, Jixiang
    Liu, Fengxia
    [J]. APPLIED MATHEMATICS AND COMPUTATION, 2019, 361 : 747 - 751
  • [7] Study on the Complex Dynamical Behavior of the Fractional-Order Hopfield Neural Network System and Its Implementation
    Ma, Tao
    Mou, Jun
    Li, Bo
    Banerjee, Santo
    Yan, Huizhen
    [J]. FRACTAL AND FRACTIONAL, 2022, 6 (11)
  • [8] Discovering community structure in Complex Network through Community Detection Approach
    Ismail, Suriana
    Ismail, Roslan
    [J]. PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON UBIQUITOUS INFORMATION MANAGEMENT AND COMMUNICATION (IMCOM 2018), 2018,
  • [9] Comparative Analysis on Community Structure Algorithms of Complex Network
    Li Ji-xin
    [J]. CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS, 2009, : 6177 - 6182
  • [10] Complex network structure extraction based on community relevance
    Ding, Jingyi
    Jiaot, Licheng
    Wu, Jianshe
    Liu, Fang
    [J]. INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2020, 31 (04):
12345