Modeling online social networks based on preferential linking

被引:0
|
作者
胡海波 [1 ]
郭进利 [2 ]
陈骏 [1 ]
机构
[1] Department of Management,East China University of Science and Technology
[2] School of Management,University of Shanghai for Science and Technology
基金
中国国家自然科学基金;
关键词
online social network; preferential linking; model; power law;
D O I
暂无
中图分类号
TP393.09 [];
学科分类号
080402 ;
摘要
We study the phenomena of preferential linking in a large-scale evolving online social network and find that the linear preference holds for preferential creation,preferential acceptance,and preferential attachment.Based on the linear preference,we propose an analyzable model,which illustrates the mechanism of network growth and reproduces the process of network evolution.Our simulations demonstrate that the degree distribution of the network produced by the model is in good agreement with that of the real network.This work provides a possible bridge between the micro-mechanisms of network growth and the macrostructures of online social networks.
引用
收藏
页码:575 / 580
页数:6
相关论文
共 50 条
  • [41] Dynamics Modeling of Knowledge Dissemination Process in Online Social Networks
    Hao, Yumeng
    Wang, Xiaoming
    Lin, Yaguang
    Zhang, Chengxin
    WIRELESS SENSOR NETWORKS, CWSN 2022, 2022, 1715 : 145 - 153
  • [42] Modeling Temporal Dynamics of User Interests in Online Social Networks
    Jiang, Bo
    Sha, Ying
    INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE, ICCS 2015 COMPUTATIONAL SCIENCE AT THE GATES OF NATURE, 2015, 51 : 503 - 512
  • [43] Modeling brand post popularity dynamics in online social networks
    Zadeh, Amir Hassan
    Sharda, Ramesh
    DECISION SUPPORT SYSTEMS, 2014, 65 : 59 - 68
  • [44] Data-Driven Modeling and Analysis of Online Social Networks
    Agrawal, Divyakant
    Bamieh, Bassam
    Budak, Ceren
    El Abbadi, Amr
    Flanagin, Andrew
    Patterson, Stacy
    WEB-AGE INFORMATION MANAGEMENT, 2011, 6897 : 3 - +
  • [45] Defensive Modeling of Fake News Through Online Social Networks
    Shrivastava, Gulshan
    Kumar, Prabhat
    Ojha, Rudra Pratap
    Srivastava, Pramod Kumar
    Mohan, Senthilkumar
    Srivastava, Gautam
    IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2020, 7 (05): : 1159 - 1167
  • [46] Multilevel learning based modeling for link prediction and users' consumption preference in Online Social Networks
    Sharma, Pradip Kumar
    Rathore, Shailendra
    Park, Jong Hyuk
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 93 : 952 - 961
  • [47] Modeling of social group growth based on social networks
    You, Zhiqiang
    Guan, Yuanpan
    Han, Xiaopu
    Deng, Xiaofang
    Lyu, Linyuan
    Complex Systems and Complexity Science, 2015, 12 (02) : 72 - 77
  • [48] Linking Network Characteristics of Online Social Networks to Individual Health: A Systematic Review of Literature
    Zhang, Renwen
    Fu, Jiawei Sophia
    HEALTH COMMUNICATION, 2021, 36 (12) : 1549 - 1559
  • [49] A coevolving model based on preferential triadic closure for social media networks
    Li, Menghui
    Zou, Hailin
    Guan, Shuguang
    Gong, Xiaofeng
    Li, Kun
    Di, Zengru
    Lai, Choy-Heng
    SCIENTIFIC REPORTS, 2013, 3
  • [50] A coevolving model based on preferential triadic closure for social media networks
    Menghui Li
    Hailin Zou
    Shuguang Guan
    Xiaofeng Gong
    Kun Li
    Zengru Di
    Choy-Heng Lai
    Scientific Reports, 3