الفهرس 
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Abstract
Social networks user modeling is a source of great interest to researchers in the fields of scientific research, because of spread a very large number of social networks sites and the attention of quite a lot of peoples, as well as to the content of social networking sites of a large quantity and variety of transmitted data between one site and various sites (such as photos, messages, and personal information , news, websites, scientific research, and other information). The main objective of this study is building model to the users, also predict of user interest in Facebook site, based on user activity in different locations, and using the most associated attributes. For the users existing on-site, as well as to predict the concerns of the new user of the site, which is an important point in this search field. One of the major challenges that we faced in the preparation of the study is to collect user information because of Lack of credibility in the user information, and what characterized by Arab societies of the determinants because of privacy. So been preparing information form to collect information from users of social networks sites, where we get (680) participants.
Was extracted characteristics using (neural Network using Self-Organizing Map and Rough Sets Theory). Building simulation model to Facebook site, for tested data by using programming language C# and SQL, and sending a link in several sites such as Facebook, Google, E-mail, Viber, and messenger. where getting (70) participants, where testing results showed high accuracy in performance.