Detecting inactive users from behavior data based on Weibo

被引:0
|
作者
Liu, Jing [1 ,2 ]
Wang, Feng [1 ]
Hu, Ya-Hui [1 ,3 ]
Li, Shi-Jun [1 ]
机构
[1] Computer School, Wuhan University, Wuhan,430072, China
[2] College of Computer Science, South-Central University for Nationalities, Wuhan,430074, China
[3] Computer Teaching and Research Section, Air Force Early Warning Academy, Wuhan,430000, China
关键词
D O I
10.3969/j.issn.1001-0548.2015.03.016
中图分类号
学科分类号
摘要
引用
收藏
页码:410 / 414
相关论文
共 50 条
  • [1] Prediction based on the acquisition of Sina Weibo data and users’ forwarding behavior
    Wang, Lufei
    [J]. International Journal of u- and e- Service, Science and Technology, 2016, 9 (09) : 373 - 382
  • [2] Analysis of the retweetting behavior of Weibo users based on Game Theory
    Wang, Ru
    Cai, Wandong
    Shen, Bo
    [J]. 2014 5TH INTERNATIONAL CONFERENCE ON GAME THEORY FOR NETWORKS (GAMENETS), 2014,
  • [3] The Method of How to Predict Weibo Users Recovery Experience on the Weekend Based on Weibo Big Data
    Wang, Peng
    Sun, Yu
    Meng, Weixuan
    Pan, Runsheng
    Wang, Jun
    Zhan, Xiangping
    Li, Xiaoyue
    Zhang, Denghao
    [J]. IEEE ACCESS, 2020, 8 (08): : 194072 - 194081
  • [4] Emergency warning information repost behavior of Weibo users
    Chen A.
    Zhu H.
    Su G.
    [J]. Qinghua Daxue Xuebao/Journal of Tsinghua University, 2021, 61 (06): : 527 - 535
  • [5] Detecting Anomalous Behavior of Users of Data Centers Based on the Application of Artificial Neural Networks
    Saenko, Igor
    Kotenko, Igor
    Skorik, Fadey
    Al-Barri, Mazen
    [J]. ARTIFICIAL INTELLIGENCE, RCAI 2021, 2021, 12948 : 331 - 342
  • [6] A Content Based Interest Mining Approach to Weibo Users
    Zhu, Kaige
    Liu, Yun
    Zhang, Zhenjiang
    Shen, Bo
    [J]. 2018 5TH INTERNATIONAL CONFERENCE ON BEHAVIORAL, ECONOMIC, AND SOCIO-CULTURAL COMPUTING (BESC), 2018, : 152 - 155
  • [7] Discovering Massive High-Value Users from Sina Weibo Based on Quality and Activity
    Zhang, Guangzhi
    Bie, Rongfang
    [J]. 2013 INTERNATIONAL CONFERENCE ON CYBER-ENABLED DISTRIBUTED COMPUTING AND KNOWLEDGE DISCOVERY (CYBERC), 2013, : 214 - 220
  • [8] Investigating Users' Tagging Behavior in Online Academic Community Based on Growth Model: Difference between Active and Inactive Users
    Xu, Yunhong
    Yin, Dehu
    Zhou, Duanning
    [J]. INFORMATION SYSTEMS FRONTIERS, 2019, 21 (04) : 761 - 772
  • [9] A New Method for Detecting Users Behavior from Web Access Logs
    Sahu, Deepti
    Soni, Rishi
    [J]. 2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS (CICN), 2015, : 1003 - 1007
  • [10] Investigating Users’ Tagging Behavior in Online Academic Community Based on Growth Model: Difference between Active and Inactive Users
    Yunhong Xu
    Dehu Yin
    Duanning Zhou
    [J]. Information Systems Frontiers, 2019, 21 : 761 - 772