M.A. Thesis:

Offer A Subject-based Trust Model Based on Beta Distribution and Eigentrust Approach

Abstract The virtual world is rapidly becoming part of the vision of educational technology and live sports events, plays, meetings, seminars, research lectures, all the regular happenings in the virtual world. Social media allows people to access, create and communicate with a wide range of information. Although this is available to people of all ages, the interaction of young people and young people in social media is high, and juveniles spend a lot of time engaging and collaborating on online sites, and from social media as a channel. The main thing is to share everyday life, learn something new and useful, and build and strengthen your social empowerment. Adolescents also quickly turn to new social platforms to quickly change their life priorities, and showcase their personal and social needs. Now, if this information is spread improperly among people, it will reduce trust, psychological damage and slow down of information. It is believed that on a virtual page one person creates another person's trust from a set of special features that, if these characteristics are close to the type of personality of the second person, trust in the second one increases, That is, if has a positive personality, he will give less misleading news than someone who has a negative personality. In this dissertation, a new confidence-based assessment strategy is presented which, with the help of the position, dependence and response of individuals to the subject matter and the use of the EigenTrust algorithm with the beta-formulation, attempts to build more trust in messages and news. . For this purpose, an algorithm has been designed and introduced, which consists of two basic steps: first, we try to distinguish between individuals based on their positive or negative character, and secondly, using the EigenTrust algorithm, those who create for each reason We delete the false fame or insecurity in the network. We also use beta distribution to evaluate and select individuals more accurately. In the evaluation, it has been investigated how much each step of the activities has been effective in differentiating individuals, which will make it possible to select more information in the type of news and information that passes to the users. We will receive reliable people, which will increase our trust in them.

Keywords: Keywords: increased trust, EigenTrust algorithm, beta distribution, virtual networks, virtual pages