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 variables 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. © Springer-Verlag Berlin Heidelberg 2011.
Latent ties identification in inter-firms social networks / P., Ameli; F., Niccolini; Palumbo, Francesco. - STAMPA. - (2011), pp. 185-193. (Intervento presentato al convegno 7th Biannual Meeting of the Classification and Data Analysis Group, CLADAG 2009 tenutosi a Catania, ita nel 2009) [10.1007/978-3-642-11363-5_21].
Latent ties identification in inter-firms social networks
PALUMBO, FRANCESCO
2011
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 variables 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. © Springer-Verlag Berlin Heidelberg 2011.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
