Research On Concentration Of Web Information Flows Distance Decay

This paper takes the web information flows as the research object, the web traffic of provinces as the starting point, through the "Google", "Baidu" search engine and so on, we acquire thirty webs information on the effective spatial distribution data of visitors, thus using Location quotient, Lorenz Curve and Gini Coefficient to calculate web information flows distances decay concentration of different types and tourism web information flows distances decay concentration in different level of region. The study founds that: (1) various types of web information flows distances decay have significant local concentration and economic concentration, and the concentration are different. (2) Tourism web information flows distances decay concentration are different in different level of region. This has fully demonstrated the geographical space does not die and web information flows still do not separate geographical material. It provided the basis for balanced development of information social network space. (3) Tourism web information flows distances decay concentration in the same level are also differences. This difference illustrates the complexity of tourism web information flows distances decay. (4) The study of web information flows distances decay concentration has practical guidance for web site construction and related policy development.This thesis is composed of five parts: The first part is the introduction. Firstly, it introduces the research background of the article. Secondly, it reviews and analyzes related literatures of domestic and foreign including three aspects, such as: the web information flows, the information flows distances decay and concentration research. Then introduces the research methods and finally designs the research content and frame of the thesisThe second part is some theoretical research of web information flows distances decay concentration. This paper givens the basic concept, meaning and measurement indicators of web information flows distances decay concentration based on the web visitors. It laid the foundation of the in-depth research of information flow distances decay.The third part is a main body of the whole thesis. It calculates web information flows distances decay concentration of different types. Web information flows be divided three types: community web information flows, business web information flows and government web information flows according to the different web holder. It calculates web information flows distances decay concentration by the Location quotient, quantitative describes the distribution situation of web traffic in the provinces, and reveals the common characteristics and differences of types of web information flows distances decay.The fourth part is also a main body of the whole thesis. It calculates tourism web information flows distances decay concentration in different level of region. The mainland provinces and cities are divided three level regions by regression analysis based on flow of tourism web information flows. This calculates tourism web information flows distances decay concentration in different level of region by Lorenz Curve and Gini Coefficient, reflects the general situation of the concentration distribution of tourism web traffic, and confirms geographical space is not confirmed dead and the web information flows by geographical factors.The fifth part is the conclusion and discussion, which summarizes the research results and deficiencies of this thesis.