Disentangling degree and tie strength heterogeneity in egocentric social networks

被引：0
|
作者：
Heydari, Sara [1 ]
Iñiguez, Gerardo [1 ,2 ,3 ,4 ]
Kertész, János [3 ,5 ]
Saramäki, Jari [1 ]
机构：
[1] Department of Computer Science, Aalto University School of Science, Aalto,00076, Finland
[2] Faculty of Information Technology and Communication Sciences, Tampere University, Tampere,33720, Finland
[3] Department of Network and Data Science, Central European University, Vienna,1100, Austria
[4] Centro de Ciencias de la Complejidad, Universidad Nacional Autonóma de México, Ciudad de México,04510, Mexico
[5] Complexity Science Hub, Vienna,1080, Austria
来源：
EPJ Data Science | 2024年 / 13卷 / 01期
基金：
欧洲研究理事会; 欧盟地平线“2020”;
关键词：
D O I：
10.1140/epjds/s13688-024-00513-x
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [41] Origins of power-law degree distribution in the heterogeneity of human activity in social networks
    Muchnik, Lev
    Pei, Sen
    Parra, Lucas C.
    Reis, Saulo D. S.
    Andrade, Jose S., Jr.
    Havlin, Shlomo
    Makse, Hernan A.
    [J]. SCIENTIFIC REPORTS, 2013, 3
  • [42] Variable Selection for High-Dimensional Nodal Attributes in Social Networks with Degree Heterogeneity
    Wang, Jia
    Cai, Xizhen
    Niu, Xiaoyue
    Li, Runze
    [J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2024, 119 (546) : 1322 - 1335
  • [43] Dynamics of self-control in egocentric social networks
    vanDellen, Michelle R.
    Meisel, Matthew K.
    Lynch, Bridget P.
    [J]. PERSONALITY AND INDIVIDUAL DIFFERENCES, 2017, 106 : 196 - 202
  • [44] Strength matters: Tie strength as a causal driver of networks' information benefits
    Kim, Minjae
    Fernandez, Roberto M.
    [J]. SOCIAL SCIENCE RESEARCH, 2017, 65 : 268 - 281
  • [45] Disentangling Sources of Influence in Online Social Networks
    Piskorec, Matija
    Smuc, Tomislav
    Sikic, Mile
    [J]. IEEE ACCESS, 2019, 7 : 131692 - 131704
  • [46] Attribute degree centrality and attribute tie strength as criteria of argument quality
    Russell, Tillman
    Reimer, Torsten
    [J]. COMMUNICATION MONOGRAPHS, 2020, 87 (03) : 336 - 358
  • [47] Computing and building around tie strength in social media
    Gilbert, Eric
    Karhalios, Karrie
    [J]. Foundations and Trends in Human-Computer Interaction, 2014, 7 (03): : 237 - 349
  • [48] Strength of Social Tie Predicts Cooperative Investment in a Human Social Network
    Harrison, Freya
    Sciberras, James
    James, Richard
    [J]. PLOS ONE, 2011, 6 (03):
  • [49] Understanding the Impact of IT Affordances and Social Tie Strength in Online Social Commerce
    Dong, Xueyan
    Wang, Tienan
    [J]. PROCEEDINGS OF 2018 10TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND COMPUTING (ICMLC 2018), 2018, : 145 - 149
  • [50] Location Prediction in Social Media Based on Tie Strength
    McGee, Jeffrey
    Caverlee, James
    Cheng, Zhiyuan
    [J]. PROCEEDINGS OF THE 22ND ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM'13), 2013, : 459 - 468
12345