Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10077/32633
Campo DCValoreLingua
dc.contributor.authorPelle, Elvirait
dc.contributor.authorPappadà, Robertait
dc.date.accessioned2021-09-29T14:33:34Z-
dc.date.available2021-09-29T14:33:34Z-
dc.date.issued2021-09-29-
dc.identifier.citationElvira Pelle, Roberta Pappadà, "A clustering procedure for mixed-type data to explore ego network typologies: an application to elderly people living alone in Italy", EUT Edizioni Università di Trieste, 2021it
dc.identifier.urihttp://hdl.handle.net/10077/32633-
dc.description.abstracthe analysis of ego networks has attracted a great attention recently and found application in many areas of the social sciences. In particular, the identification of network typologies has become a crucial task and a powerful tool to capture aspects of the social space or personal community in which people are embedded. In this work, we propose a distance-based clustering procedure to identify homogeneous groups of ego networks that are only described by a small number of compositional variables. The proposed approach is motivated by the empirical study of ego networks of contacts extracted from the “Family and Social Subjects” (FSS) Survey conducted by the Italian National Statistical Institute in 2016, which is not specifically oriented to network analysis. We focus on elderly respondents living alone, which can be regarded as a vulnerable category, with the aim to describe their network of contacts. First, mining relational information in FSS data, we derive the ego networks of respondents. Then, we develop a methodology for coping with the presence of heterogeneous data and small amount of information from a network perspective. To this aim, we introduce a dissimilarity measure for mixed-type data, and exploit hierarchical clustering for grouping ego networks according to their composition. In doing so, we intend to make our approach applicable to various surveys.it
dc.language.isoenit
dc.publisherEUT Edizioni Università di Triesteit
dc.relation.ispartofseriesDEAMS Research Paper Series, 2021, 4it
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internazionale*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectEgo networkit
dc.subjectHierarchical clusteringit
dc.subjectPrototypeit
dc.subjectMixed-type datait
dc.titleA clustering procedure for mixed-type data to explore ego network typologies: an application to elderly people living alone in Italyit
dc.typeBookit
dc.identifier.eisbn978-88-5511-274-1-
dc.relation.pages33it
item.openairecristypehttp://purl.org/coar/resource_type/c_2f33-
item.grantfulltextopen-
item.languageiso639-1en-
item.openairetypebook-
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
È visualizzato nelle collezioni:DEAMS Research Paper Series 2021, 4
File in questo documento:
File Descrizione DimensioniFormato
DEAMS_Research_Paper_2021_4_Pelle_Pappada.pdfFull Text670.76 kBAdobe PDFMiniatura
Visualizza/apri
DEAMS_Research_Paper_2021_4_Cover.jpgFront Cover873.38 kBJPEGMiniatura
Visualizza/apri
Visualizza la scheda semplice del documento


CORE Recommender

Page view(s)

65
checked on 4-dic-2021

Download(s)

24
checked on 4-dic-2021

Google ScholarTM

Check


Questo documento è distribuito in accordo con Licenza Creative Commons Creative Commons