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Social Network Analysis of an Online Melanoma Discussion Group
We have developed tools to explore social networks that share information in medical forums to better understand the unmet informational needs of patients and family members facing cancer treatments. We define metrics that demonstrate members discussing interleukin-2 receive a stronger response from...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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American Medical Informatics Association
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041535/ https://www.ncbi.nlm.nih.gov/pubmed/21347134 |
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author | Durant, Kathleen T. McCray, Alexa T. Safran, Charles |
author_facet | Durant, Kathleen T. McCray, Alexa T. Safran, Charles |
author_sort | Durant, Kathleen T. |
collection | PubMed |
description | We have developed tools to explore social networks that share information in medical forums to better understand the unmet informational needs of patients and family members facing cancer treatments. We define metrics that demonstrate members discussing interleukin-2 receive a stronger response from the melanoma discussion group than a typical topic. The interleukin-2 network has a different topology than the melanoma network, has a higher density, and its members are more likely to have a higher intimacy level with another member and a lower inquisitiveness level than a typical melanoma user. Members are more likely to join the interleukin-2 network to answer a question than in the melanoma network (probability =.2 ±.05 p-value=.001). Within the melanoma network 20% of the questions posed to the community do not get an answer. In the interleukin-2 network, 1.3% of the questions (one question) do not get a response. |
format | Text |
id | pubmed-3041535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | American Medical Informatics Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-30415352011-02-23 Social Network Analysis of an Online Melanoma Discussion Group Durant, Kathleen T. McCray, Alexa T. Safran, Charles Summit on Translat Bioinforma Articles We have developed tools to explore social networks that share information in medical forums to better understand the unmet informational needs of patients and family members facing cancer treatments. We define metrics that demonstrate members discussing interleukin-2 receive a stronger response from the melanoma discussion group than a typical topic. The interleukin-2 network has a different topology than the melanoma network, has a higher density, and its members are more likely to have a higher intimacy level with another member and a lower inquisitiveness level than a typical melanoma user. Members are more likely to join the interleukin-2 network to answer a question than in the melanoma network (probability =.2 ±.05 p-value=.001). Within the melanoma network 20% of the questions posed to the community do not get an answer. In the interleukin-2 network, 1.3% of the questions (one question) do not get a response. American Medical Informatics Association 2010-03-01 /pmc/articles/PMC3041535/ /pubmed/21347134 Text en ©2010 AMIA - All rights reserved. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose |
spellingShingle | Articles Durant, Kathleen T. McCray, Alexa T. Safran, Charles Social Network Analysis of an Online Melanoma Discussion Group |
title | Social Network Analysis of an Online Melanoma Discussion Group |
title_full | Social Network Analysis of an Online Melanoma Discussion Group |
title_fullStr | Social Network Analysis of an Online Melanoma Discussion Group |
title_full_unstemmed | Social Network Analysis of an Online Melanoma Discussion Group |
title_short | Social Network Analysis of an Online Melanoma Discussion Group |
title_sort | social network analysis of an online melanoma discussion group |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041535/ https://www.ncbi.nlm.nih.gov/pubmed/21347134 |
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