A new model for the analysis of Persian web traffic graphs

Abstract

This paper attempts to provide a new model for the analysis of a Persian-language web traffic graph. This graph was generated according to the relationship link between two websites, based on the inbound and outbound traffic of each website. The essential information for generating the graph was retrieved from Alexa.com. The graph was then analyzed using several social network analysis techniques. The results of this study indicated that influential websites can be identified using a combination of factors, such as betweenness centrality, In degree and Out degree of traffic in the network. Additionally, influential websites can make profitable modifications which would be in line with improving the quality of the content of Persian-language websites, including a greater number of overall visits.