Research on the measure method of complaint theme influence on online social network

被引:13
|
作者
He, Jianmin [1 ,2 ]
Hu, Mengna [1 ]
Shi, Mingguang [3 ]
Liu, Yezheng [1 ,2 ]
机构
[1] Hefei Univ Technol, Sch Management, Hefei 230009, Peoples R China
[2] Minist Educ, Key Lab Proc Optimizat & Intelligent Decis Making, Hefei 230009, Peoples R China
[3] Hefei Univ Technol, Sch Elect Engn & Automat, Hefei 230009, Peoples R China
基金
美国国家科学基金会;
关键词
Online social network; Complaint theme; Entropy model; Influence measure; REVIEWS;
D O I
10.1016/j.eswa.2014.03.018
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Consumer complaints on online social network quickly become online groups complaints through many people's aggregation and looking on, interaction and word-of-mouth communication. Therefore, assessing and managing online complain influence has become a new problem for enterprise to listen to and manage online group complaints. This paper analyzed the complaint information feature of consumer group on online social network, from three-dimensional perspective of complaint text's quality, transmission timeliness and user interaction degree. We built the influence measure model of online complaint theme based on entropy weight model by monitoring and analyzing real-time the static and dynamic properties of complaint information, explored the measure method of complaint theme influence, employed empirical method to verify the validity and provided scientific decision-making tools and methods for enterprise listening to and managing online group complains. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:6039 / 6046
页数:8
相关论文
共 50 条
  • [21] Continuous state online influence maximization in social network
    Emami, Negar
    Mozafari, Niloofar
    Hamzeh, Ali
    SOCIAL NETWORK ANALYSIS AND MINING, 2018, 8 (01)
  • [22] A Survey on Influence Spreader Identification in Online Social Network
    Kumaran, P.
    Chitrakala, S.
    2016 INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND EMBEDDED SYSTEMS (ICICES), 2016,
  • [23] Social influence determination on big data streams in an online social network
    Kumaran, P.
    Chitrakala, S.
    MULTIMEDIA TOOLS AND APPLICATIONS, 2017, 76 (21) : 22133 - 22167
  • [24] Groupthink and Peer Pressure: Social Influence in Online Social Network Groups
    Hui, Pan
    Buchegger, Sonja
    2009 INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING, 2009, : 53 - 59
  • [25] Social influence determination on big data streams in an online social network
    Multimedia Tools and Applications, 2017, 76 : 22133 - 22167
  • [26] Groupthink and peer pressure: Social influence in online social network groups
    Hui, Pan
    Buchegger, Sonja
    Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2009, 2009, : 53 - 59
  • [27] Social Media and Online Exposure as an Early Measure of the Impact of Transplant Research
    Knight, S.
    AMERICAN JOURNAL OF TRANSPLANTATION, 2014, 14 : 837 - 837
  • [28] An Influence Model Based on Heterogeneous Online Social Network for Influence Maximization
    Deng, Xiaoheng
    Long, Fang
    Li, Bo
    Cao, Dejuan
    Pan, Yan
    IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2020, 7 (02): : 737 - 749
  • [29] Heuristic Theme Clustering for Online Social Media
    Qi, Xiaole
    Wang, Xiaodong
    Lv, Shaohe
    3RD INTERNATIONAL CONFERENCE ON INNOVATION IN ARTIFICIAL INTELLIGENCE (ICIAI 2019), 2019, : 96 - 100
  • [30] Social influence in online retail: A review and research agenda
    Kalia, Prateek
    Zia, Adil
    Kaur, Kulvinder
    EUROPEAN MANAGEMENT JOURNAL, 2023, 41 (06) : 1034 - 1046