La estructura en las redes personales.

Most personal (egocentric) network studies describe networks using measures that are not structural, opting instead for attribute-based analyses that summarize the relationships of the respondent to network members. Those researchers that used structural measures have done so on networks of less tha...

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Main Author: McCarty, Christopher
Format: Article
Language:Spanish
Published: Universitat Autònoma de Barcelona 2010-12-01
Series:REDES: Revista Hispana para el Análisis de Redes Sociales
Subjects:
Online Access:http://revista-redes.rediris.es/html-vol19/vol19_11.htm
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spelling doaj-74d0fb8df0b6416b8c17634b116a125b2020-11-25T03:03:55ZspaUniversitat Autònoma de BarcelonaREDES: Revista Hispana para el Análisis de Redes Sociales1579-01852010-12-011911La estructura en las redes personales.McCarty, ChristopherMost personal (egocentric) network studies describe networks using measures that are not structural, opting instead for attribute-based analyses that summarize the relationships of the respondent to network members. Those researchers that used structural measures have done so on networks of less than 10 members who represent the network core. Although much has been learned by focusing on attribute-based analyses of personal network data, the application of structural analyses that are traditionally used on whole (sociocentric) network data may prove fruitful. The utility of this approach becomes apparent when the sample of network members elicited is relatively large. Forty-six respondents free-listed 60 network members and evaluated tie strength between all 1,770 unique pairs of members. Graph-based measures of cohesion and subgroups revealed variability in the personal network structure. Non-hierarchical clustering generated subgroups that were subsequently verified by respondents as meaningful. Further analysis of the correlation between subgroup types and overlap between subgroups demonstrates how the analysis of each network can be summarized across subjects. Four case studies are presented to illustrate the richness of the data and the value of contrasting individual matrix results to the norm as defined by all 45 subjects. http://revista-redes.rediris.es/html-vol19/vol19_11.htmPersonal networkEgocentric networkSocial network structure
collection DOAJ
language Spanish
format Article
sources DOAJ
author McCarty, Christopher
spellingShingle McCarty, Christopher
La estructura en las redes personales.
REDES: Revista Hispana para el Análisis de Redes Sociales
Personal network
Egocentric network
Social network structure
author_facet McCarty, Christopher
author_sort McCarty, Christopher
title La estructura en las redes personales.
title_short La estructura en las redes personales.
title_full La estructura en las redes personales.
title_fullStr La estructura en las redes personales.
title_full_unstemmed La estructura en las redes personales.
title_sort la estructura en las redes personales.
publisher Universitat Autònoma de Barcelona
series REDES: Revista Hispana para el Análisis de Redes Sociales
issn 1579-0185
publishDate 2010-12-01
description Most personal (egocentric) network studies describe networks using measures that are not structural, opting instead for attribute-based analyses that summarize the relationships of the respondent to network members. Those researchers that used structural measures have done so on networks of less than 10 members who represent the network core. Although much has been learned by focusing on attribute-based analyses of personal network data, the application of structural analyses that are traditionally used on whole (sociocentric) network data may prove fruitful. The utility of this approach becomes apparent when the sample of network members elicited is relatively large. Forty-six respondents free-listed 60 network members and evaluated tie strength between all 1,770 unique pairs of members. Graph-based measures of cohesion and subgroups revealed variability in the personal network structure. Non-hierarchical clustering generated subgroups that were subsequently verified by respondents as meaningful. Further analysis of the correlation between subgroup types and overlap between subgroups demonstrates how the analysis of each network can be summarized across subjects. Four case studies are presented to illustrate the richness of the data and the value of contrasting individual matrix results to the norm as defined by all 45 subjects.
topic Personal network
Egocentric network
Social network structure
url http://revista-redes.rediris.es/html-vol19/vol19_11.htm
work_keys_str_mv AT mccartychristopher laestructuraenlasredespersonales
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