Abstract
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.
Highlights
Web link analysis is one of the methods most widely applied and deeply researched in web-metrics; it is initially used to construct network influence factor [1, 2], and later plenty of related conceptions and technologies are extended. e main purposes are all basically to uncover information of different levels and connotations based on web link data, and in-link analysis and co-link analysis are two practical web link analysis methods. e co-link analysis method was proposed by Larson [3] first, and it has been applied to uncover relations among organizations of different types, such as academic relation [4], political relation [5], and commercial relation [6]
Domestic Zhang and Yu [14] adopted multidata sources to compare co-link analysis and network co-word analysis, and they found that network co-word analysis can uncover important enterprise competitive information. e second scheme is as follows: URL reference data are another possibility to replace network link, and URL reference is similar to super-link on structure; the so-called URL reference of website A to website B refers to that web-pages in website A contain URL of website B, but it does not link to website B [1, 12] for sure
Based on the new method of URL co-occurrence analysis, this paper takes the representative banks of China as the research object and uses a variety of methods to carry out the innovative research of enterprise competitive information from multiple perspectives, which effectively makes up for the deficiency caused by the lack of linked data sources and opens up a new space for the research of enterprise competitive information
Summary
Web link analysis is one of the methods most widely applied and deeply researched in web-metrics; it is initially used to construct network influence factor [1, 2], and later plenty of related conceptions and technologies are extended. e main purposes are all basically to uncover information of different levels and connotations based on web link data, and in-link analysis and co-link analysis are two practical web link analysis methods. e co-link analysis method was proposed by Larson [3] first, and it has been applied to uncover relations among organizations of different types, such as academic relation [4], political relation [5], and commercial relation [6]. Vaughan and You proposed the conception of network co-word analysis [13] and collected data of telecom enterprises for verification; they found that the network co-word method could be used to draw business competition map. Domestic Zhang and Yu [14] adopted multidata sources to compare co-link analysis and network co-word analysis, and they found that network co-word analysis can uncover important enterprise competitive information. Yue and Fang [15] compared network co-word analysis and URL reference, and they pointed out that there may be problems of “multiwords for a single meaning” and “multi meanings for a single word” innetwork co-word analysis, while URL reference elements had obvious directivity and uniqueness; enterprise competitive information research based on URL co-occurrence analysis may have wider application prospect and bigger innovation space. Whether the collected data need to be processed by Jaccard and how the data of different processing methods are processed by different methods for information research are of great significance to the theoretical improvement of enterprise competitive information research
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