Hierarchical Cluster and Multidimensional Scaling Analysis of Video Websites Based on URL Co-occurrence

摘要

Co-link analysis is an important method in link analysis. This paper attempts to research the categories of video websites with an alternative method of co-link analysis, called URL co-occurrence analysis. In the research, hierarchical cluster analysis and multidimensional scaling analysis are used to study the competition situation. Results show that the video websites in China can be divided into 4 - layer gradient websites. Overall, some comprehensive web sites hold the most share of the market and characteristic websites highlights the market and small websites coexist at the same time.