Statistical analysis of city and the villages Internet users based on user logs

Zhang Yi-Wen,Bai Yan-Qi,Yang An-Ju,Changde Lu,Xuesheng Pei,Jianning Su

doi:10.1051/matecconf/201817603011

Abstract

In recent years, with the rapid increase of users active on the Internet, Internet users access log is also increasing rapidly. According to the user's Internet access log analysis of the characteristics of user behavior on the Internet. In this paper, we classify the statistical analysis of the behavior of Internet users by collecting information and data on urban and rural Internet user behavior. This result may provide a basis for guiding the behavior of Internet software manufacturers or government.

Highlights

When the users visit the Internet, the website will regard log as the carrier and record the interactive information which users use on internet.Statistical analysis [1] is an important method of discovering the law and undertanding the essence from the large amount of logs data
The author firstly divides the users into three types of users:urban,suburban and rural.Besides,the author analyzes differences of three types of users in income,age and education through statistical analysis of users attribute information and internet users behaviors data .According to the SPSS statistical software,analyze the differences of internet behaviors,what is said above is helpful to provide the government, software developers and e-commerce with guidance for understanding of the behaviors’characteristics of each users more accurately
The chi-square test was conducted on the constitute of urban male and female, suburban and rural areas,with the value of 0.621, p=0.733>0.05, which indicates that the differences between the male and

Summary

Introduction

When the users visit the Internet, the website will regard log as the carrier and record the interactive information which users use on internet.Statistical analysis [1] is an important method of discovering the law and undertanding the essence from the large amount of logs data. Educational background, occupation, income, region and other attributes of Internet users[6], analysis in sequence is shown:most of the respondents were male (77.6%), the oldest was 75 years old, the youngest was 8 years old, the average was 33.02 years old, and the standard deviation was 9.270.

Results

Conclusion