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A genetic search of patterns of behaviour in OSS communities

 

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Author: Martínez Torres, María del Rocío
Department: Universidad de Sevilla. Departamento de Administración de Empresas y Comercialización e Investigación de Mercados (Marketing)
Date: 2012
Published in: Expert Systems with Applications, 39(18), 13182-13192
Document type: Article
Abstract: This paper proposes the identification of patterns of behaviour of open source software (OSS) communities using factor analysis and their social network analysis (SNA) features. OSS communities can be modelled as a social network in which nodes represent the community members and arcs represent the social interactions among them, and factor analysis is able to provide the factors that explain the latent patterns of behaviour. Due to the complexity of the problem and the high number of SNA features that can be extracted, this paper proposes a genetic search of an optimum subset of indicators leading to a group of latent patterns of behaviour maximizing the explained data variance and the interpretation of factors. Obtained results illustrate the feasibility of the proposed framework to extract relevant information from a large set of data
Size: 911.3Kb
Format: PDF

URI: http://hdl.handle.net/11441/31071

DOI: http://dx.doi.org/10.1016/j.eswa.2012.05.083

This work is under a Creative Commons License: 
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