Application of neural networks in social capital analysis
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The paper investigates a possibility of using soft computing for estimating the value of social capital. Our approach is applied to a case of Red Hat Inc. - the world's leading provider of open source solutions. The objective of the research is to develop an artificial neural network for forecasting the value of social capital. These studies also allow to identify variables significantly affecting the value of social capital. Computer simulations and assessments were done using software package STATISTICA Automated Neural Networks. The paper concludes with discussion and proposals for further research.
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