Triadic evolution in a large-scale mobile phone network

被引:1
|
作者
Wang, Cheng [1 ]
Lizardo, Omar [2 ]
Hachen, David S. [2 ]
机构
[1] Univ Calif Irvine, Irvine, CA 92697 USA
[2] Univ Notre Dame, Notre Dame, IN 46556 USA
基金
美国国家科学基金会;
关键词
triadic evolution; triangle stability; triangle formation;
D O I
10.1093/comnet/cnu030
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In this paper, we examine the evolution of triadic motifs in a large-scale human communication network. We consider extant models of triadic evolution, emphasizing vertex-, dyadic-, triadic- and higher-level processes in order to generate testable hypotheses of the predictors of both over time triangle survival and triangle emergence from lower-order motifs. We find that the stability and formation of triangles can be predicted by factors operating at multiple levels of analysis, with dyadic processes related to strength and reciprocity and triadic processes associated with coherence in edge-weights having the most predictive power.
引用
收藏
页码:264 / 290
页数:27
相关论文
共 50 条
  • [1] The Randomness and Robustness of Triadic, Tetradic, and Pentadic Evolution Patterns in a Large-Scale Mobile Phone Network
    Wang C.
    [J]. SN Computer Science, 2021, 2 (6)
  • [2] Unveiling large-scale commuting patterns based on mobile phone cellular network data
    Hadachi, Amnir
    Pourmoradnasseri, Mozhgan
    Khoshkhah, Kaveh
    [J]. JOURNAL OF TRANSPORT GEOGRAPHY, 2020, 89
  • [3] An optimizing clustering algorithm for large-scale mobile network
    Tian, YC
    Guoi, W
    Ren, QC
    [J]. 2002 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS AND WEST SINO EXPOSITION PROCEEDINGS, VOLS 1-4, 2002, : 155 - 159
  • [4] Characterizing and Modeling of Large-Scale Traffic in Mobile Network
    Yang, Jie
    Li, Weicheng
    Qiao, Yuanyuan
    Fadlullah, Zubair Md.
    Kato, Nei
    [J]. 2015 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2015, : 801 - 806
  • [5] Mobile Phone Changing Prediction based on Large-scale User Behavioral Data
    Ma, Qingli
    Cui, Tiesheng
    Zheng, Jiewen
    Zhang, Sihai
    Zhou, Wuyang
    [J]. 2016 19TH INTERNATIONAL SYMPOSIUM ON WIRELESS PERSONAL MULTIMEDIA COMMUNICATIONS (WPMC), 2016,
  • [6] A Framework for Spatial Interaction Analysis Based on Large-Scale Mobile Phone Data
    Li, Weifeng
    Cheng, Xiaoyun
    Duan, Zhengyu
    Yang, Dongyuan
    Guo, Gaohua
    [J]. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2014, 2014
  • [7] Structure and Evolution of a Large-Scale Wireless Community Network
    Elianos, Fotios A.
    Plakia, Georgia
    Frangoudis, Pantelis A.
    Polyzos, George C.
    [J]. 2009 IEEE INTERNATIONAL SYMPOSIUM ON A WORLD OF WIRELESS, MOBILE AND MULTIMEDIA NETWORKS & WORKSHOPS, 2009, : 357 - 362
  • [8] EVOLUTION OF CONTINUOUS MOBILE THERMOGRAPHY FOR LARGE-SCALE DIAGNOSTIC SURVEYS
    ARRO, AA
    [J]. PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS, 1984, 446 : 20 - 23
  • [9] Detecting Anomaly in Large-scale Network using Mobile Crowdsourcing
    Li, Yang
    Sun, Jiachen
    Huang, Wenguang
    Tian, Xiaohua
    [J]. IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2019), 2019, : 2179 - 2187
  • [10] Real-Time Large-Scale Map Matching Using Mobile Phone Data
    Algizawy, Essam
    Ogawa, Tetsuji
    El-Mahdy, Ahmed
    [J]. ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2017, 11 (04)