Neural Model for Assessing the Value of Social Capital

The paper introduces the neural model for assessing the value of social capital. Algorithms proposed in the literature for such estimations were discussed and their fundamental constraints were indicated. The main purpose of the research was to develop the most efficient model for such estimations. It involved defining and verifying such factors as: number of neurons, activation functions, learning algorithms, error function, etc. The empirical studies allowed also identifying variables most significantly affecting the value of social capital. The paper concludes with discussion about potential users of proposed method and proposals for further research.