Evaluation and clustering of Iranian sports Federation based on website traffic indicators of the website

All of today's dynamic organizations have selected the Internet as one of the best means of communication with all the individuals and stakeholders. The purpose of this research was to evaluate and cluster the website of the 43 Iranian sports federations based on the Alexa website traffic indicators. The indexes included the number of pages viewed, the average browsing time of the site, the percentage of visitors inside the country, the percentage of visitors from outside the country, the number of links and loading rates. Using hierarchical clustering method, similar federations were grouped together in the form of homogeneous clusters, and eventually three clusters were created. The quality and validity of each of the clusters created by the diagnostic analysis method were confirmed and finally, the characteristics of each of these clusters were analyzed. The basis for cluster analysis was considered to be a comparison of the average of each indicator in each cluster with the average of the same indicator in all the clusters (total data). Since there was no significant difference between the average time of browsing the site and the average number of pages visited among different clusters, these indices were not considered in cluster analysis. The results of the study showed that Iran's sports federations have a poor and unexpected performance in the field of webometrics.