Abstract
Social networks are usually analyzed through manifest variables. However there are social latent aspects that strongly qualify such networks. This paper aims to propose a statistical methodology to identify latent variable in inter-firm social networks. A multidimensional scaling technique is proposed to measure a latent variable as a combination of an appropriate set of two or more manifest relational aspects. This method, tested on an inter-firm social network in the Marche region (Italy), it is a new way to grasp social aspect with quantitative tools that could be implemented under several different conditions, using also other variables.
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Ameli, P., Niccolini, F., Palumbo, F. (2011). Latent Ties Identification in Inter-Firms Social Networks. In: Ingrassia, S., Rocci, R., Vichi, M. (eds) New Perspectives in Statistical Modeling and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11363-5_21
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DOI: https://doi.org/10.1007/978-3-642-11363-5_21
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