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Application of neural networks for social capital analysis

Publication date: 12.09.2014

Technical Transactions, 2013, Automatic Control Issue 2 AC (10) 2013, pp. 57-66

https://doi.org/10.4467/2353737XCT.14.023.2606

Authors

Julia Siderska
Faculty of Management, Bialystok University of Technology
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Titles

Application of neural networks for social capital analysis

Abstract

The paper investigates the possibility of using soft computing for estimating the value of social capital. Our approach is applied to the case of Red Hat Inc. – the world’s leading provider of open source solutions. The objective of the research was to develop an artificial neural network for forecasting the value of social capital. These studies also allow us 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.

References

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Information

Information: Technical Transactions, 2013, Automatic Control Issue 2 AC (10) 2013, pp. 57-66

Article type: Original article

Titles:

Polish:

Application of neural networks for social capital analysis

English:

Application of neural networks for social capital analysis

Authors

Faculty of Management, Bialystok University of Technology

Published at: 12.09.2014

Article status: Open

Licence: None

Percentage share of authors:

Julia Siderska (Author) - 100%

Article corrections:

-

Publication languages:

English

View count: 1868

Number of downloads: 1012

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