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Contact Trees: Network Visualization beyond Nodes and Edges
Node-Link diagrams make it possible to take a quick glance at how nodes (or actors) in a network are connected by edges (or ties). A conventional network diagram of a “contact tree” maps out a root and branches that represent the structure of nodes and edges, often without further specifying leaves...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4718622/ https://www.ncbi.nlm.nih.gov/pubmed/26784350 http://dx.doi.org/10.1371/journal.pone.0146368 |
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author | Sallaberry, Arnaud Fu, Yang-chih Ho, Hwai-Chung Ma, Kwan-Liu |
author_facet | Sallaberry, Arnaud Fu, Yang-chih Ho, Hwai-Chung Ma, Kwan-Liu |
author_sort | Sallaberry, Arnaud |
collection | PubMed |
description | Node-Link diagrams make it possible to take a quick glance at how nodes (or actors) in a network are connected by edges (or ties). A conventional network diagram of a “contact tree” maps out a root and branches that represent the structure of nodes and edges, often without further specifying leaves or fruits that would have grown from small branches. By furnishing such a network structure with leaves and fruits, we reveal details about “contacts” in our ContactTrees upon which ties and relationships are constructed. Our elegant design employs a bottom-up approach that resembles a recent attempt to understand subjective well-being by means of a series of emotions. Such a bottom-up approach to social-network studies decomposes each tie into a series of interactions or contacts, which can help deepen our understanding of the complexity embedded in a network structure. Unlike previous network visualizations, ContactTrees highlight how relationships form and change based upon interactions among actors, as well as how relationships and networks vary by contact attributes. Based on a botanical tree metaphor, the design is easy to construct and the resulting tree-like visualization can display many properties at both tie and contact levels, thus recapturing a key ingredient missing from conventional techniques of network visualization. We demonstrate ContactTrees using data sets consisting of up to three waves of 3-month contact diaries over the 2004-2012 period, and discuss how this design can be applied to other types of datasets. |
format | Online Article Text |
id | pubmed-4718622 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-47186222016-01-30 Contact Trees: Network Visualization beyond Nodes and Edges Sallaberry, Arnaud Fu, Yang-chih Ho, Hwai-Chung Ma, Kwan-Liu PLoS One Research Article Node-Link diagrams make it possible to take a quick glance at how nodes (or actors) in a network are connected by edges (or ties). A conventional network diagram of a “contact tree” maps out a root and branches that represent the structure of nodes and edges, often without further specifying leaves or fruits that would have grown from small branches. By furnishing such a network structure with leaves and fruits, we reveal details about “contacts” in our ContactTrees upon which ties and relationships are constructed. Our elegant design employs a bottom-up approach that resembles a recent attempt to understand subjective well-being by means of a series of emotions. Such a bottom-up approach to social-network studies decomposes each tie into a series of interactions or contacts, which can help deepen our understanding of the complexity embedded in a network structure. Unlike previous network visualizations, ContactTrees highlight how relationships form and change based upon interactions among actors, as well as how relationships and networks vary by contact attributes. Based on a botanical tree metaphor, the design is easy to construct and the resulting tree-like visualization can display many properties at both tie and contact levels, thus recapturing a key ingredient missing from conventional techniques of network visualization. We demonstrate ContactTrees using data sets consisting of up to three waves of 3-month contact diaries over the 2004-2012 period, and discuss how this design can be applied to other types of datasets. Public Library of Science 2016-01-19 /pmc/articles/PMC4718622/ /pubmed/26784350 http://dx.doi.org/10.1371/journal.pone.0146368 Text en © 2016 Sallaberry et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Sallaberry, Arnaud Fu, Yang-chih Ho, Hwai-Chung Ma, Kwan-Liu Contact Trees: Network Visualization beyond Nodes and Edges |
title | Contact Trees: Network Visualization beyond Nodes and Edges |
title_full | Contact Trees: Network Visualization beyond Nodes and Edges |
title_fullStr | Contact Trees: Network Visualization beyond Nodes and Edges |
title_full_unstemmed | Contact Trees: Network Visualization beyond Nodes and Edges |
title_short | Contact Trees: Network Visualization beyond Nodes and Edges |
title_sort | contact trees: network visualization beyond nodes and edges |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4718622/ https://www.ncbi.nlm.nih.gov/pubmed/26784350 http://dx.doi.org/10.1371/journal.pone.0146368 |
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