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Signed graphs have a wide array of applications in the social networking domain as the industry and platforms highly rely on forming trust links between users so as to smooth out the process of interacting virtually. Signed graphs facilitate this process by providing a mode of representing such networks as graphs that have edges with a positive/negative sign that help in defining the nature of relationship between the nodes(that can represent the users of the platform or any respective representatives of the platform) of the graph. In this paper we have dealt with the platform of bitcoin alpha that is now coming into notice due to cryptocurrency’s rising popularity. Trading online can be risky and thus the entire platform is functional on the principle of trust/distrust between such anonymous users. We have attempted to formulate the social network of bitcoin alpha platform into a signed graph and predict the links to establish trust/distrust between any two users in the entire graph using concepts of balanced and unbalanced graph theories, and fairness and goodness measures of vertices. Fairness of a user denotes how reliable the rating given by that particular user to others is, whereas goodness measures how likeable or trustworthy a particular user of the website is. Using these metrics, we have attempted to solve this problem.

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