Social networks are usually analyzed through manifest variables. However there are social latent aspects that strongly qualify the 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 this 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 theMarche region, 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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Titolo: | Latent ties identification in inter-firms social networks |
Autori interni: | |
Data di pubblicazione: | 2009 |
Abstract: | Social networks are usually analyzed through manifest variables. However there are social latent aspects that strongly qualify the 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 this 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 theMarche region, is a new way to grasp social aspect with quantitative tools that could be implemented under several different conditions, using also other variables |
Handle: | http://hdl.handle.net/11393/44718 |
ISBN: | 9788861294066 |
Appare nelle tipologie: | 04.01 Contributo in atti di convegno |
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Fniccolini Latent ties identification.pdf | Documento in post-print (versione successiva alla peer review e accettata per la pubblicazione) | DRM non definito | Open AccessVisualizza/Apri |