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Analysis of Network Structure and Doctor Behaviors in E-Health Communities from a Social-Capital Perspective
In tandem with internet development and widespread social media use, e-health communities have begun to emerge in recent years. These communities allow doctors to access forums anywhere, anytime, seek or exchange medical information online, find literature, and so on. This is convenient and can solv...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068535/ https://www.ncbi.nlm.nih.gov/pubmed/32053913 http://dx.doi.org/10.3390/ijerph17041136 |
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author | Li, Zhigang Xu, Xu |
author_facet | Li, Zhigang Xu, Xu |
author_sort | Li, Zhigang |
collection | PubMed |
description | In tandem with internet development and widespread social media use, e-health communities have begun to emerge in recent years. These communities allow doctors to access forums anywhere, anytime, seek or exchange medical information online, find literature, and so on. This is convenient and can solve some problems for doctors while also promoting doctor communication. This study collected and collated 102 doctors in the “Lilac Forum” and used social network tools to quantify the overall network density, centrality, core–periphery structure, and structural hole indicators of doctors’ information exchange from a social-capital perspective. The results showed that the frequency of interaction between doctors differed because of differences in the identities and participation of doctors in the e-health community. The density of the doctors’ information dissemination network (0.228) and network cohesion (0.610) were relatively high. Thus, the doctors were more closely connected, and information was easily spread. At the same time, doctors with higher professional titles had obvious location characteristics, familiarity and trust, and high levels of reciprocity. They could obtain redundant information in the network and were more likely to influence the behavior of other doctors. This study’s findings provide support for improving information exchange among doctors in e-health communities and improving the service levels of the platforms. |
format | Online Article Text |
id | pubmed-7068535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70685352020-03-19 Analysis of Network Structure and Doctor Behaviors in E-Health Communities from a Social-Capital Perspective Li, Zhigang Xu, Xu Int J Environ Res Public Health Article In tandem with internet development and widespread social media use, e-health communities have begun to emerge in recent years. These communities allow doctors to access forums anywhere, anytime, seek or exchange medical information online, find literature, and so on. This is convenient and can solve some problems for doctors while also promoting doctor communication. This study collected and collated 102 doctors in the “Lilac Forum” and used social network tools to quantify the overall network density, centrality, core–periphery structure, and structural hole indicators of doctors’ information exchange from a social-capital perspective. The results showed that the frequency of interaction between doctors differed because of differences in the identities and participation of doctors in the e-health community. The density of the doctors’ information dissemination network (0.228) and network cohesion (0.610) were relatively high. Thus, the doctors were more closely connected, and information was easily spread. At the same time, doctors with higher professional titles had obvious location characteristics, familiarity and trust, and high levels of reciprocity. They could obtain redundant information in the network and were more likely to influence the behavior of other doctors. This study’s findings provide support for improving information exchange among doctors in e-health communities and improving the service levels of the platforms. MDPI 2020-02-11 2020-02 /pmc/articles/PMC7068535/ /pubmed/32053913 http://dx.doi.org/10.3390/ijerph17041136 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Zhigang Xu, Xu Analysis of Network Structure and Doctor Behaviors in E-Health Communities from a Social-Capital Perspective |
title | Analysis of Network Structure and Doctor Behaviors in E-Health Communities from a Social-Capital Perspective |
title_full | Analysis of Network Structure and Doctor Behaviors in E-Health Communities from a Social-Capital Perspective |
title_fullStr | Analysis of Network Structure and Doctor Behaviors in E-Health Communities from a Social-Capital Perspective |
title_full_unstemmed | Analysis of Network Structure and Doctor Behaviors in E-Health Communities from a Social-Capital Perspective |
title_short | Analysis of Network Structure and Doctor Behaviors in E-Health Communities from a Social-Capital Perspective |
title_sort | analysis of network structure and doctor behaviors in e-health communities from a social-capital perspective |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068535/ https://www.ncbi.nlm.nih.gov/pubmed/32053913 http://dx.doi.org/10.3390/ijerph17041136 |
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