<?xml version="1.0"?><rdf:RDF xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:edm="http://www.europeana.eu/schemas/edm/" xmlns:wgs84_pos="http://www.w3.org/2003/01/geo/wgs84_pos" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:rdaGr2="http://rdvocab.info/ElementsGr2" xmlns:oai="http://www.openarchives.org/OAI/2.0/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:ore="http://www.openarchives.org/ore/terms/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:dcterms="http://purl.org/dc/terms/"><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:doc-79G5S5BI/b21dfcd3-51b8-46cb-ace9-7960604187b2/PDF"><dcterms:extent>1222 KB</dcterms:extent></edm:WebResource><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:doc-79G5S5BI/e04f3e7a-47fb-463c-8521-fe1a9b15a0dc/TEXT"><dcterms:extent>35 KB</dcterms:extent></edm:WebResource><edm:TimeSpan rdf:about="2002-2026"><edm:begin xml:lang="en">2002</edm:begin><edm:end xml:lang="en">2026</edm:end></edm:TimeSpan><edm:ProvidedCHO rdf:about="URN:NBN:SI:doc-79G5S5BI"><dcterms:isPartOf rdf:resource="https://www.dlib.si/details/urn:nbn:si:spr-py0w57lr" /><dcterms:issued>2016</dcterms:issued><dc:creator>Djomba, Janet Klara</dc:creator><dc:creator>Zaletel-Kragelj, Lijana</dc:creator><dc:format xml:lang="sl">številka:4</dc:format><dc:format xml:lang="sl">letnik:55</dc:format><dc:format xml:lang="sl">str. 256-263</dc:format><dc:identifier>ISSN:0351-0026</dc:identifier><dc:identifier>COBISSID:3704293</dc:identifier><dc:identifier>URN:URN:NBN:SI:doc-79G5S5BI</dc:identifier><dc:language>en</dc:language><dc:publisher xml:lang="sl">Nacionalni inštitut za javno zdravje</dc:publisher><dcterms:isPartOf xml:lang="sl">Zdravstveno varstvo</dcterms:isPartOf><dc:subject xml:lang="sl">analize</dc:subject><dc:subject xml:lang="sl">družbena podpora</dc:subject><dc:subject xml:lang="sl">družbeno okolje</dc:subject><dc:subject xml:lang="sl">javno zdravje</dc:subject><dc:subject xml:lang="sl">kvalitativne raziskave</dc:subject><dc:subject xml:lang="en">public health</dc:subject><dc:subject xml:lang="en">qualitative research</dc:subject><dc:subject xml:lang="en">social environment</dc:subject><dc:subject xml:lang="en">social network analysis</dc:subject><dc:subject xml:lang="en">social support</dc:subject><dc:subject xml:lang="sl">socialna omrežja</dc:subject><dcterms:temporal rdf:resource="2002-2026" /><dc:title xml:lang="sl">A methodological approach to the analysis of egocentric social networks in public health research| prikaz primera| a practical example| Metodološki pristop k analizi egocentričnih socialnih omrežij pri raziskovanju v javnem zdravju|</dc:title><dc:description xml:lang="sl">Introduction. Research on social networks in public health focuses on how social structures and relationships influence health and health-related behaviour. While the sociocentric approach is used to study complete social networks, the egocentric approach is gaining popularity because of its focus on individuals, groups and communities. Methods. One of the participants of the healthy lifestyle health education workshop 'I'm moving', included in the study of social support for exercise was randomly selected. The participant was denoted as the ego and members of her/his social network as the alteri. Data were collected by personal interviews using a self-made questionnaire. Numerical methods and computer programmes for the analysis of social networks were used for the demonstration of analysis. Results. The size, composition and structure of the egocentric social network were obtained by a numerical analysis. The analysis of composition included homophily and homogeneity. Moreover, the analysis of the structure included the degree of the egocentric network, the strength of the ego alter ties and the average strength of ties. Visualisation of the network was performed by three freely available computer programmes, namely: Egonet.QF, E-net and Pajek. The computer programmes were described and compared by their usefulness. Conclusion. Both numerical analysis and visualisation have their benefits. The decision what approach to use is depending on the purpose of the social network analysis. While the numerical analysis can be used in large-scale population-based studies, visualisation of personal networks can help health professionals at creating, performing and evaluation of preventive programmes, especially if focused on behaviour change</dc:description><edm:type>TEXT</edm:type><dc:type xml:lang="sl">znanstveno časopisje</dc:type><dc:type xml:lang="en">journals</dc:type><dc:type rdf:resource="http://www.wikidata.org/entity/Q361785" /></edm:ProvidedCHO><ore:Aggregation rdf:about="http://www.dlib.si/?URN=URN:NBN:SI:doc-79G5S5BI"><edm:aggregatedCHO rdf:resource="URN:NBN:SI:doc-79G5S5BI" /><edm:isShownBy rdf:resource="http://www.dlib.si/stream/URN:NBN:SI:doc-79G5S5BI/b21dfcd3-51b8-46cb-ace9-7960604187b2/PDF" /><edm:rights rdf:resource="http://creativecommons.org/licenses/by-nc-nd/4.0/" /><edm:provider>Slovenian National E-content Aggregator</edm:provider><edm:intermediateProvider xml:lang="en">National and University Library of Slovenia</edm:intermediateProvider><edm:dataProvider xml:lang="sl">Nacionalni inštitut za javno zdravje</edm:dataProvider><edm:object rdf:resource="http://www.dlib.si/streamdb/URN:NBN:SI:doc-79G5S5BI/maxi/edm" /><edm:isShownAt rdf:resource="http://www.dlib.si/details/URN:NBN:SI:doc-79G5S5BI" /></ore:Aggregation></rdf:RDF>