An Empirical Study Of The Discrete Laws Of Network Information Concentration

The improvement of civilization and the development of science and technology make thenetwork information play an important role in the daily life. How to efficiently use networkinformation is becoming the focus of attention. As the Webometrics proposed, people placed thesight on network information distribution laws. From that moment on, researchers are concernedthat whether or not the two laws apply on network information, which are the basic part of theliterature information s distribution--Bradford's law and Zipf's law. The survey found that theresearch about applicability of literature information s distribution law in a network environmentis less, and the results of verification are different. Based on this background, it is a focus toverify whether the two laws apply on network information s distribution.This study uses a combination method of theoretical and empirical research. Based on thecurrent domestic and oversea researches, the paper studies the two distribution laws of thenetwork information. The research is divided into six chapters as following. The first chapterdescribes the research background and significance of the study, reviews the research status ofthe distribution law of the network information at home and abroad, and further introduces thecontent and method of this paper. The second and third chapters focus on Bradford's and Zipf'slaw, respectively. The fourth chapter gives an empirical study of network information sBradford's law. This chapter is divided into two parts. One part is the empirical study of networkstructured information. The theme of "webometrics" from Cnki database is selected. The date isset from2000to2010. Then, the applicability of Bradford's law in a network environment isverified by five different methods. The other is the empirical study of network unstructuredinformation. The study selected242websites of Library and Information about seven majorcategories as the experimental data. Then the applicability of Bradford's law in a networkenvironment is verified by five different methods.The empirical study of network information sZipf's law is organized in the fifth chapter. This chapter is also the empirical study of networkunstructured and structured information of Zipf's Law. The empirical study of network structuredinformation selected the five core journals keywords in Library and Information as theexperimental data, then followed by five different methods to verify the applicability of Zipf'slaw in a network environment. The other is the empirical study of network unstructuredinformation.444websites links of Library and Information about seven major categories areselected as the experimental data, then followed by five different methods to verify theapplicability of Zipf's law in a network environment. The sixth chapter gives a summary of thepaper, proving two laws are applied to the distribution of network information, the lack ofanalysis and the prospect for further research.Although the theoretical and applied research of the distribution laws of the networkinformation at home and abroad has made some achievements, it has not yet been fullyestablished a definite result in these studies. This paper makes a detailed interpretation on thefollowing four aspects, namely the sample selection, the original data acquisition, dataprocessing and the statistical and verification of data. My paper proved that the two laws applyon network information s distribution by regional analysis, image analysis, regression analysisand function formula analysis. But we also see some new features. Here, it may providetheoretical and practical significance for learning and researching workers.