An Approach Based on Network Science to Detect Communities in Social Networks

被引:0
|
作者
Lima, Victor C. F. [1 ]
Bastos-Filho, Carmelo J. A. [1 ]
机构
[1] Univ Pernambuco, Polytech Sch Pernambuco, Recife, PE, Brazil
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Several studies have been developed over the years in the areas of Text Mining, Social Network Analysis and Detection of Communities. In this paper, we present a new technique for community detection in social networking using the conversation of users in a social network. We showed that the proposal performed very well for a specific theme for defining a community and performed well for joint themes. We believe this can be used in many areas, such as in advertisement.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] Approach to Social Network Analyzing (SNA) on Virtual Communities
    Ibanez-Cubillas, Pilar
    JOURNAL FOR EDUCATORS TEACHERS AND TRAINERS, 2016, 7 (02): : 51 - 63
  • [32] Approach to Social Network Analyzing (SNA) on Virtual Communities
    Ibanez-Cubillas, Pilar
    JOURNAL FOR EDUCATORS TEACHERS AND TRAINERS, 2016, 7 : 52 - 63
  • [33] A Feature Selection Approach to Detect Spam in the Facebook Social Network
    Mohammad Karim Sohrabi
    Firoozeh Karimi
    Arabian Journal for Science and Engineering, 2018, 43 : 949 - 958
  • [34] Road networks structure analysis: A preliminary network science-based approach
    Reza, Selim
    Ferreira, Marta Campos
    Machado, J. J. M.
    Tavares, Joao Manuel R. S.
    ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE, 2024, 92 (01) : 215 - 234
  • [35] Road networks structure analysis: A preliminary network science-based approach
    Selim Reza
    Marta Campos Ferreira
    J.J.M. Machado
    João Manuel R.S. Tavares
    Annals of Mathematics and Artificial Intelligence, 2024, 92 : 215 - 234
  • [36] A Feature Selection Approach to Detect Spam in the Facebook Social Network
    Sohrabi, Mohammad Karim
    Karimi, Firoozeh
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2018, 43 (02) : 949 - 958
  • [37] Detecting communities in social networks based on cliques
    Nedioui, Med Abdelhamid
    Moussaoui, Abdelouahab
    Saoud, Bilal
    Babahenini, Mohamed Chaouki
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2020, 551
  • [38] Weighting dissimilarities to detect communities in networks
    Alvarez, Alejandro J.
    Sanz-Rodriguez, Carlos E.
    Luis Cabrera, Juan
    PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2015, 373 (2056):
  • [39] A modularity-maximization-based approach for detecting multi-communities in social networks
    Chen-Kun Tsung
    Sing-Ling Lee
    Hann-Jang Ho
    ShengKai Chou
    Annals of Operations Research, 2021, 303 : 381 - 411
  • [40] A modularity-maximization-based approach for detecting multi-communities in social networks
    Tsung, Chen-Kun
    Lee, Sing-Ling
    Ho, Hann-Jang
    Chou, ShengKai
    ANNALS OF OPERATIONS RESEARCH, 2021, 303 (1-2) : 381 - 411