Objective: Most researches carried out in the field of Social Capital have weighed each of the variables of social capital with various measuring models (especially trust and social networks) neglecting the inter relation of the forming variable and consequently, have introduced the degree of each of the forming variables as the total measure of Social Capital itself. In this paper, effort has been put into describing the current measuring methods and outlining the criticisms applied to each of them. Method: The main focus of the article is on the assessment of the synergic interaction among the forming variables of social capital as a totality. Therefore, correlation of forming variables is the research method used. Findings: With regard to the complex relationship between the forming variables of social capital, complexity has been used as the major appropriate model. In this models with a functional definition basis and statement of the reciprocal and non-reduction relation between the variables, social capital has formed a complex function. Thus, estimating the phase space of each variable of the social capital and solving the partial differentiation equations system are introduced as the useful and efficient tools of evaluating Social Capital function. Resault: Exploiting the complexity mathematics is suggested to be the suitable method for measuring Social Capital.