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Social network analysis in pigs: impacts of significant dyads on general network and centrality parameters
In general, one animal is considered dominant over another animal if it has won more fights than its opponent. Whether this difference in won and lost fights is significant is neglected in most studies. Thus, the present study evaluates the impact of two different calculation methods for dyadic inte...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6974429/ https://www.ncbi.nlm.nih.gov/pubmed/31414655 http://dx.doi.org/10.1017/S1751731119001836 |
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author | Büttner, K. Czycholl, I. Mees, K. Krieter, J. |
author_facet | Büttner, K. Czycholl, I. Mees, K. Krieter, J. |
author_sort | Büttner, K. |
collection | PubMed |
description | In general, one animal is considered dominant over another animal if it has won more fights than its opponent. Whether this difference in won and lost fights is significant is neglected in most studies. Thus, the present study evaluates the impact of two different calculation methods for dyadic interactions with a significant asymmetric outcome on the results of social network analysis regarding agonistic interactions of pigs in three different mixing events (weaned piglets, fattening pigs and gilts). Directly after mixing, all animals were video recorded for 17 (fattening pigs, gilts) and 28 h (weaned piglets), documenting agonistic interactions. Two calculation methods for significant dyads, that is, dyadic interactions with a clear dominant subordinate relationship in which one animal has won significantly more fights than its encounter, were proposed: pen individual limits were calculated by a sign test considering the differences of won and lost fights of all dyadic interactions in each pen; dyad individual limits were determined by a one-sided sign test for each individual dyad. For all data sets (ALL, including all dyadic interactions; PEN or DYAD, including only significant dyads according to pen or dyad individual limits), networks were built based on the information of initiator and receiver with the pigs as nodes and the edges between them illustrating attacks. General network parameters describing the whole network structure and centrality parameters describing the position of each animal in the network were calculated. Both pen and dyad individual limits revealed only a small percentage of significant dyads for weaned piglets (12.4% or 8.8%), fattening pigs (4.2% or 0.6%) and gilts (3.6% or 0.4%). The comparison between the data sets revealed only high Spearman’s rank correlation coefficients (r(S)) for the density, that is, percentage of possible edges that were actually present in the network, whereas the centrality parameters showed only moderate r(S) values (0.37 to 0.75). Thus, the rank order of the animals changed due to the exclusion of insignificant dyads, which shows that the results obtained from social network analysis are clearly influenced if insignificant dyads are excluded from the analyses. Due to the fact that the pen individual limits consider the overall level of agonistic interactions within each pen, this calculation method should be preferred over the dyad individual limits. Otherwise, too many animals in the group became isolated nodes with zero centrality for which no statement about their position within the network can be made. |
format | Online Article Text |
id | pubmed-6974429 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-69744292020-01-31 Social network analysis in pigs: impacts of significant dyads on general network and centrality parameters Büttner, K. Czycholl, I. Mees, K. Krieter, J. Animal Research Article In general, one animal is considered dominant over another animal if it has won more fights than its opponent. Whether this difference in won and lost fights is significant is neglected in most studies. Thus, the present study evaluates the impact of two different calculation methods for dyadic interactions with a significant asymmetric outcome on the results of social network analysis regarding agonistic interactions of pigs in three different mixing events (weaned piglets, fattening pigs and gilts). Directly after mixing, all animals were video recorded for 17 (fattening pigs, gilts) and 28 h (weaned piglets), documenting agonistic interactions. Two calculation methods for significant dyads, that is, dyadic interactions with a clear dominant subordinate relationship in which one animal has won significantly more fights than its encounter, were proposed: pen individual limits were calculated by a sign test considering the differences of won and lost fights of all dyadic interactions in each pen; dyad individual limits were determined by a one-sided sign test for each individual dyad. For all data sets (ALL, including all dyadic interactions; PEN or DYAD, including only significant dyads according to pen or dyad individual limits), networks were built based on the information of initiator and receiver with the pigs as nodes and the edges between them illustrating attacks. General network parameters describing the whole network structure and centrality parameters describing the position of each animal in the network were calculated. Both pen and dyad individual limits revealed only a small percentage of significant dyads for weaned piglets (12.4% or 8.8%), fattening pigs (4.2% or 0.6%) and gilts (3.6% or 0.4%). The comparison between the data sets revealed only high Spearman’s rank correlation coefficients (r(S)) for the density, that is, percentage of possible edges that were actually present in the network, whereas the centrality parameters showed only moderate r(S) values (0.37 to 0.75). Thus, the rank order of the animals changed due to the exclusion of insignificant dyads, which shows that the results obtained from social network analysis are clearly influenced if insignificant dyads are excluded from the analyses. Due to the fact that the pen individual limits consider the overall level of agonistic interactions within each pen, this calculation method should be preferred over the dyad individual limits. Otherwise, too many animals in the group became isolated nodes with zero centrality for which no statement about their position within the network can be made. Cambridge University Press 2020-02 2019-08-15 /pmc/articles/PMC6974429/ /pubmed/31414655 http://dx.doi.org/10.1017/S1751731119001836 Text en © The Author(s) 2019 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Büttner, K. Czycholl, I. Mees, K. Krieter, J. Social network analysis in pigs: impacts of significant dyads on general network and centrality parameters |
title | Social network analysis in pigs: impacts of significant dyads on general network and centrality parameters |
title_full | Social network analysis in pigs: impacts of significant dyads on general network and centrality parameters |
title_fullStr | Social network analysis in pigs: impacts of significant dyads on general network and centrality parameters |
title_full_unstemmed | Social network analysis in pigs: impacts of significant dyads on general network and centrality parameters |
title_short | Social network analysis in pigs: impacts of significant dyads on general network and centrality parameters |
title_sort | social network analysis in pigs: impacts of significant dyads on general network and centrality parameters |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6974429/ https://www.ncbi.nlm.nih.gov/pubmed/31414655 http://dx.doi.org/10.1017/S1751731119001836 |
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