Using Social Network Analysis and Social Capital to Identify User Roles on Polarized Political Conversations on Twitter

被引:37
|
作者
Recuero, Raquel [1 ,2 ]
Zago, Gabriela
Soares, Felipe [2 ]
机构
[1] Univ Fed Pelotas, Pelotas, RS, Brazil
[2] Univ Fed Rio Grande do Sul, Porto Alegre, RS, Brazil
来源
SOCIAL MEDIA + SOCIETY | 2019年 / 5卷 / 02期
关键词
social capital; political conversations; social network analysis; public sphere; Twitter; OPINION LEADERS; ONLINE; MEDIA; NEWS;
D O I
10.1177/2056305119848745
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
In this article, we discuss the roles users play in political conversations on Twitter. Our case study is based on data collected in three dates during the former Brazilian president Lula's corruption trial. We used a combination of social network analysis metrics and social capital to identify the users' roles during polarized discussions that took place in each of the dates analyzed. Our research identified four roles, each associated with different aspects of social capital and social network metrics: activists, news clippers, opinion leaders, and information influencers. These roles are particularly useful to understand how users' actions on political conversations may influence the structure of information flows.
引用
收藏
页数:18
相关论文
共 50 条
  • [21] Social Network Analysis of Pokemon Go in Twitter
    Kolli, Shaghayegh
    Khajeheian, Datis
    2018 2ND NATIONAL AND 1ST INTERNATIONAL DIGITAL GAMES RESEARCH CONFERENCE: TRENDS, TECHNOLOGIES, AND APPLICATIONS (DGRC), 2018, : 17 - 26
  • [22] Classifying Twitter Topic-Networks Using Social Network Analysis
    Himelboim, Itai
    Smith, Marc A.
    Rainie, Lee
    Shneiderman, Ben
    Espina, Camila
    SOCIAL MEDIA + SOCIETY, 2017, 3 (01):
  • [23] A hybrid clustering approach to identify network positions and roles through social network and multivariate analysis
    Yu-Hsin Chang
    Kuei-Kuei Lai
    Chien-Yu Lin
    Fang-Pei Su
    Ming-Chung Yang
    Scientometrics, 2017, 113 : 1733 - 1755
  • [24] A hybrid clustering approach to identify network positions and roles through social network and multivariate analysis
    Chang, Yu-Hsin
    Lai, Kuei-Kuei
    Lin, Chien-Yu
    Su, Fang-Pei
    Yang, Ming-Chung
    SCIENTOMETRICS, 2017, 113 (03) : 1733 - 1755
  • [25] Social Network Analysis and Semantic Analysis of #TexasAbortionBan on Twitter
    Dai, Zehui
    Jiang, Weiwei
    McNickle, Colleen
    SEXUALITY RESEARCH AND SOCIAL POLICY, 2024, 21 (02) : 591 - 597
  • [26] Analysis of Social Audiences using Twitter
    Luz Congosto, Mari
    Deltell, Luis
    Claes, Florencia
    Miguel Osteso, Jose
    REVISTA ICONO 14-REVISTA CIENTIFICA DE COMUNICACION Y TECNOLOGIAS, 2013, 11 (02): : 53 - 82
  • [27] Using social network analysis to identify influential community organizations
    Wang, Peng
    Hernandez, Rodrigo
    Fernandez, Maria E.
    Reininger, Belinda
    Wells, Rebecca
    Crum, Michelle
    Sifuentes, Maribel R.
    Haffey, Meghan E.
    Xia, Derun
    Lusher, Dean
    Fujimoto, Kayo
    SOCIAL SCIENCE & MEDICINE, 2025, 365
  • [28] USING SOCIAL MEDIA NETWORK ANALYSIS TO IDENTIFY AND VISUALIZE TWITTER INFLUENCERS FOR NATIONAL YOUTH HIV/AIDS AWARENESS DAY
    Long, Everett
    SEXUALLY TRANSMITTED DISEASES, 2016, 43 : S204 - S204
  • [29] User profiling of the Twitter Social Network during the impeachment of Brazilian President
    de Franca, Fabricio Olivetti
    Goya, Denise Hideko
    de Camargo Penteado, Claudio Luis
    SOCIAL NETWORK ANALYSIS AND MINING, 2018, 8 (01)
  • [30] Predicting Politician's Supporters' Network on Twitter Using Social Network Analysis and Semantic Analysis
    Khan, Asif
    Zhang, Huaping
    Shang, Jianyun
    Boudjellal, Nada
    Ahmad, Arshad
    Ali, Asmat
    Dai, Lin
    SCIENTIFIC PROGRAMMING, 2020, 2020