Research on Enterprise Competitive Information Management Based on Co-Occurrence Analysis

被引:0
|
作者
Wu, Peng [1 ]
Feng, Ran [1 ]
机构
[1] Henan Univ, Inst Management Sci & Engn, Kaifeng 475004, Peoples R China
基金
中国博士后科学基金;
关键词
URL CITATIONS; WEB; PATTERNS; LINK;
D O I
10.1155/2021/3981128
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Link data source lack has seriously hampered the research development of competitive information for enterprises based on co-link analysis in recent years, and exploring application and innovation of the new method of URL co-occurrence analysis in enterprises competitive information research is very important to make up for current inadequacy. And exploration on problems such as whether Jaccard handling needs to be conducted on collected data and how the effect is to conduct information research in different methods for data in different handling ways is meaningful to theoretical perfection of competitive information research of enterprises. Non-Jaccard data and Jaccard data are compared with examples of Chinese representative banks based on new methods of URL co-occurrence analysis, and competitive information research of enterprises is conducted in the multidimensional scaling method and social network analysis method; and comprehensive exploration and analysis are conducted from multiperspectives such as gradient grading analysis, recognition of main competitors, and competitive landscape analysis of fine grit. Innovative research competitive information for enterprises based on URL co-occurrence analysis in this thesis effectively makes up for current inadequacy due to link data source lack, and it expands new spaces for competitive information research of enterprises; it is also in research in this thesis that analysis result based on non-Jaccard data is far better than analysis result based on Jaccard data when multidimensional scaling analysis is conducted; analysis result based on non-Jaccard data and analysis result based on Jaccard data uncover competitive information of related enterprises when social network analysis is conducted, and above conclusions in this thesis are all verified and analyzed through example data.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Research on Enterprise Competitive Information Management Based on Co-Occurrence Analysis
    Wu, Peng
    Feng, Ran
    Wu, Peng (akasfd@126.com), 1600, Hindawi Limited (2021):
  • [2] Semantic information retrieval research based on co-occurrence analysis
    Lou, Wen
    Qiu, Junping
    ONLINE INFORMATION REVIEW, 2014, 38 (01) : 4 - 23
  • [3] Analysis of co-occurrence networks with clique occurrence information
    Shen, Bin
    Li, Yixiao
    INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2014, 25 (05):
  • [4] Lean Management a Co-occurrence Analysis
    Cornejo, Vanessa Rodriguez
    Paz, Angel Cervera
    WPOM-WORKING PAPERS ON OPERATIONS MANAGEMENT, 2024, 15 (01): : 16 - 38
  • [5] Visualizing the GVC research: a co-occurrence network based bibliometric analysis
    Linqing Liu
    Shiye Mei
    Scientometrics, 2016, 109 : 953 - 977
  • [6] Terminological (di) Similarities between Information Management and Knowledge Management: a Term Co-Occurrence Analysis
    Gonzalez-Valiente, Carlos Luis
    Costas, Rodrigo
    Noyons, Ed
    Steinerova, Jela
    Susol, Jaroslav
    MOBILE NETWORKS & APPLICATIONS, 2021, 26 (01): : 336 - 346
  • [7] Terminological (di) Similarities between Information Management and Knowledge Management: a Term Co-Occurrence Analysis
    Carlos Luis González-Valiente
    Rodrigo Costas
    Ed Noyons
    Jela Steinerová
    Jaroslav Šušol
    Mobile Networks and Applications, 2021, 26 : 336 - 346
  • [8] Visualizing the GVC research: a co-occurrence network based bibliometric analysis
    Liu, Linqing
    Mei, Shiye
    SCIENTOMETRICS, 2016, 109 (02) : 953 - 977
  • [9] Evolution of construction risk management research: historiography and keyword co-occurrence analysis
    Zhao, Xianbo
    ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT, 2024, 31 (04) : 1408 - 1428
  • [10] Research on Gambling in Young People: A Co-Occurrence Analysis
    Yalcin, Ragip Umit
    JOURNAL OF GAMBLING STUDIES, 2023, 39 (02) : 531 - 539