Dynamic Weight on Static Trust for trustworthy social media networks

Abstract

Something in our mind does not always reflect with our fingers on keyboard and mouse, but we respect our blood which might be the way out of the wariness in usage of social media networks today. Social media networks are already the largest network among the population across our globe and for sure, it will not stop expanding its territory. Security vulnerabilities on the other side have been mounting in parallel. A comprehensive effort to change ourselves along with reversing the process or architecture of social media network sites might be the solution of this serious but unavoidable problem. We can create a trusted social media network model that will ensure trust level of a user to connect with other users. Users can trust each other based on the trust level. A lot of research has been done on trust model for social media networks and till now none is established effectively as most of them fail to capture user's trustworthiness with full proof. In order to signpost user's trustworthiness, we model trust with two components: i) Static Trust and ii) Dynamic Weight on Trust. Static Trust is captured by anti-anonymity process based on genealogical tree which will not be changed frequently. And Dynamic Weight on Trust is an algorithmic process to determine score based on predefined scoring scale that is applied on user's genealogical tree and community members. Evaluation of the above model on selected user group is quite positive in taking decision for users when (i) connecting with new friends (ii) self-representing in trustworthy manner. Our proposed trust model fully eliminates anonymity in social media networks which will be a trusted zone for users.