Tie Strength Dynamics over Temporal Co-authorship Social Networks

被引:2
|
作者
Brandao, Michele A. [1 ]
Vaz de Melo, Pedro O. S. [1 ]
Moro, Mirella M. [1 ]
机构
[1] Univ Fed Minas Gerais, Belo Horizonte, MG, Brazil
关键词
Temporal Social Networks Analyses; Tie Strength; Data and Graph Mining;
D O I
10.1145/3106426.3106536
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In co-authorship social networks, nodes are authors linked by co-authorship interactions. As time is a relevant aspect of such interactions, concepts and metrics designed to static networks have to be adapted to temporal networks. Tie strength is one of those concepts. Here, we verify if current tie strength definitions are valid for temporal networks by analyzing the strength of ties dynamism over temporal co-authorship networks. Surprisingly, our results show that most ties, even the strong ones, tend to perish over time. Thus, most co-authorships are symbiotic without positive concerns. Also, real co-authorship social networks from different research areas have more weak and random ties than strong and bridge ties.
引用
收藏
页码:306 / 313
页数:8
相关论文
共 50 条
  • [31] Determining the number of clusters in co-authorship networks using social network theory
    Meng, Qinxue
    Kennedy, Paul J.
    [J]. SECOND INTERNATIONAL CONFERENCE ON CLOUD AND GREEN COMPUTING / SECOND INTERNATIONAL CONFERENCE ON SOCIAL COMPUTING AND ITS APPLICATIONS (CGC/SCA 2012), 2012, : 337 - 343
  • [32] Social and swarm aspects of co-authorship network
    Kudelka, Milos
    Horak, Zdenek
    Snasel, Vaclav
    Kroemer, Pavel
    Platos, Jan
    Abraham, Ajith
    [J]. LOGIC JOURNAL OF THE IGPL, 2012, 20 (03) : 634 - 643
  • [33] Co-authorship Prediction Based on Temporal Graph Attention
    Jin, Dongdong
    Cheng, Peng
    Lin, Xuemin
    Chen, Lei
    [J]. WEB AND BIG DATA, APWEB-WAIM 2021, PT I, 2021, 12858 : 3 - 19
  • [34] A Comparative Analysis of Social Entrepreneurship and Entrepreneurship: An Examination of International Co-Authorship Networks
    Kurata, Karin
    Miyashita, Shuto
    Sengoku, Shintaro
    Kodama, Kota
    Lim, Yeong Joo
    [J]. SUSTAINABILITY, 2023, 15 (22)
  • [35] Discussion of "Co-citation and Co-authorship Networks of Statisticians"
    Zhu, Xiaojing
    Kolaczyk, Eric D.
    [J]. JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 2022, 40 (02) : 494 - 496
  • [36] Co-authorship networks in South African chemistry and mathematics
    Durbach, Ian N.
    Naidoo, Deevashan
    Mouton, Johann
    [J]. SOUTH AFRICAN JOURNAL OF SCIENCE, 2008, 104 (11-12) : 487 - 492
  • [37] Co-authorship patterns and networks of Korean radiation oncologists
    Choi, Jinhyun
    Kang, Jin Oh
    Park, Seo Hyun
    Kim, Sang Ki
    [J]. RADIATION ONCOLOGY JOURNAL, 2011, 29 (03): : 164 - 173
  • [38] Name ambiguity influences centrality of co-authorship networks
    Barbastefano, Rafael Garcia
    Souza, Cristina
    de Sousa Costa, Juliana Maria
    Teixeira, Patricia Mattos
    [J]. TRANSINFORMACAO, 2015, 27 (03): : 189 - 198
  • [39] Co-authorship networks in the digital library research community
    Liu, XM
    Bollen, J
    Nelson, ML
    Van de Sompel, H
    [J]. INFORMATION PROCESSING & MANAGEMENT, 2005, 41 (06) : 1462 - 1480
  • [40] Link Prediction Regression for Weighted Co-authorship Networks
    Makarov, Ilya
    Gerasimova, Olga
    [J]. ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2019, PT II, 2019, 11507 : 667 - 677