A simple phenomenological model for time evolution of social networks

被引:0
|
作者
Jiang, J. [1 ,2 ]
Wang, Q. A. [3 ]
Li, W. [4 ]
Cai, X. [4 ]
机构
[1] Wuhan Text Univ, Res Ctr Nonlinear Sci, Wuhan 430200, Peoples R China
[2] Wuhan Text Univ, Coll Math & Comp Sci, Wuhan 430200, Peoples R China
[3] Inst Super Mat & Mecan Avances, F-72000 Le Mans, France
[4] Hua Zhong Cent China Normal Univ, Complex Sci Ctr, Inst Particle Phys, Wuhan 430079, Peoples R China
关键词
COMPLEX NETWORKS; COMMUNITY STRUCTURE;
D O I
10.1088/1742-6596/604/1/012010
中图分类号
O59 [应用物理学];
学科分类号
摘要
Inspired by the maxim "long union divides and long division unites", a phenomenological model with the simplification of real social networks is proposed to explore the evolutionary features of these networks composed of the entities whose behaviors are dominated by two events: union and division. The nodes are endowed with some attributes such as identity, ingredient, richness, age and internal diversity, which determine collectively the evolution in a probabilistic way. Through the local interaction of two events, a stationary state of network is reached as a constant amount of nodes survive with no more event happened in the network, like a situation of tripartite confrontation. Besides, the number of survived nodes and the speed of network evolution can be controlled by two parameters.
引用
收藏
页数:8
相关论文
共 50 条
  • [31] A Simple Phenomenological Neuronal Model with Inhibitory and Excitatory Synapses
    Lenk, Kerstin
    ADVANCES IN NONLINEAR SPEECH PROCESSING, 2011, 7015 : 232 - 238
  • [32] CONSEQUENCES OF A SIMPLE PHENOMENOLOGICAL V - MODEL FOR NEUTRAL CURRENTS
    ADLER, SL
    TUAN, SF
    PHYSICAL REVIEW D, 1975, 11 (01) : 129 - 13
  • [33] A simple phenomenological non-Newtonian fluid model
    Zatloukal, Martin
    JOURNAL OF NON-NEWTONIAN FLUID MECHANICS, 2010, 165 (11-12) : 592 - 595
  • [34] A SIMPLE PHENOMENOLOGICAL MODEL FOR THE INTERPRETATION OF ION NEUTRALIZATION SPECTRA
    HOOD, E
    BOZSO, F
    METIU, H
    SURFACE SCIENCE, 1985, 161 (2-3) : 491 - 512
  • [35] A general stochastic model for studying time evolution of transition networks
    Zhan, Choujun
    Tse, Chi K.
    Small, Michael
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2016, 464 : 198 - 210
  • [36] A phenomenological model for dynamic traffic flow in networks
    Hilliges, M
    Weidlich, W
    TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 1995, 29 (06) : 407 - 431
  • [37] The Evolution of Representation in Simple Cognitive Networks
    Marstaller, Lars
    Hintze, Arend
    Adami, Christoph
    NEURAL COMPUTATION, 2013, 25 (08) : 2079 - 2107
  • [38] A Genetic-Algorithm-Based Information Evolution Model for Social Networks
    Wang, Yanan
    Chen, Xiuzhen
    Li, Jianhua
    Huang, Wanyu
    CHINA COMMUNICATIONS, 2016, 13 (12) : 234 - 249
  • [39] The Prediction Model of Online Social Networks' Evolution Based on the Similarity of Community
    Li Xiaolong
    Zhang Deyang
    ADVANCES ON P2P, PARALLEL, GRID, CLOUD AND INTERNET COMPUTING (3PGCIC-2017), 2018, 13 : 215 - 223
  • [40] A Genetic-Algorithm-Based Information Evolution Model for Social Networks
    Yanan Wang
    Xiuzhen Chen
    Jianhua Li
    Wanyu Huang
    中国通信, 2016, 13 (12) : 234 - 249