Özet:

It is necessary to predict Internet data traffic models to plan computer networks and provide quality network service. The aim of this study is to create resources for comparison and planning models with the modeling of the distribution of page-based data from click-based data. For this purpose targeted websites are news sites with the purpose of acquiring information with e-commerce where accessories and ready-made clothes are marketed. The direct output rate, the duration of stay on the site and the number of pages viewed from the indicators of these websites have been studied. With a comparative analysis of the data obtained in a five-month interval, the immediate output rate and the number of pages viewing indicators can be studied in the comparison models with the distribution of Dagum and Johnson SB. Due to the change in the behavior of Internet users, it would be appropriate for researchers to make evaluations using continuously up-to-date data-based distribution for other web sites indicators. The obtained distribution information, in sales simulations used in the private sector, is considered to be available in various fields, such as performance assessment between websites.

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