UniMC - Pubblicazioni Aperte Digitali
U-PAD (Unimc - Pubblicazioni Aperte Digitali) è il sistema dell'Università di Macerata basato sull'IRIS (Institutional Research Information System) per facilitare la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca disponibili.
EnglishSocial 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
Scheda prodotto non validato
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo
| 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 |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| 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 |
Copyright © 2020