Social network analysis in pigs: impacts of significant dyads on general network and centrality parameters

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Standard

Social network analysis in pigs : impacts of significant dyads on general network and centrality parameters. / Büttner, K.; Czycholl, I.; Mees, K.; Krieter, J.

In: Animal, Vol. 14, No. 2, 2020, p. 368-378.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Büttner, K, Czycholl, I, Mees, K & Krieter, J 2020, 'Social network analysis in pigs: impacts of significant dyads on general network and centrality parameters', Animal, vol. 14, no. 2, pp. 368-378. https://doi.org/10.1017/S1751731119001836, https://doi.org/10.1017/S1751731119001836

APA

Büttner, K., Czycholl, I., Mees, K., & Krieter, J. (2020). Social network analysis in pigs: impacts of significant dyads on general network and centrality parameters. Animal, 14(2), 368-378. https://doi.org/10.1017/S1751731119001836, https://doi.org/10.1017/S1751731119001836

Vancouver

Büttner K, Czycholl I, Mees K, Krieter J. Social network analysis in pigs: impacts of significant dyads on general network and centrality parameters. Animal. 2020;14(2):368-378. https://doi.org/10.1017/S1751731119001836, https://doi.org/10.1017/S1751731119001836

Author

Büttner, K. ; Czycholl, I. ; Mees, K. ; Krieter, J. / Social network analysis in pigs : impacts of significant dyads on general network and centrality parameters. In: Animal. 2020 ; Vol. 14, No. 2. pp. 368-378.

Bibtex

@article{9ded292063d3424982ce2d1ec22bba03,
title = "Social network analysis in pigs: impacts of significant dyads on general network and centrality parameters",
abstract = "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.",
keywords = "agonistic interactions, dominance, group structure, mixing, swine",
author = "K. B{\"u}ttner and I. Czycholl and K. Mees and J. Krieter",
note = "Funding Information: This research received no external funding. The authors have no competing interests to declare. The regrouping of the animals was performed as part of the normal farm practice, and the behaviour of the animals were recorded with video cameras in the first 3 days after mixing. All experimental work was conducted in accordance with relevant national legislation and approval by an ethics committee was not required. Data are available from the authors upon reasonable request. Publisher Copyright: {\textcopyright} 2019 The Animal Consortium",
year = "2020",
doi = "10.1017/S1751731119001836",
language = "English",
volume = "14",
pages = "368--378",
journal = "Animal",
issn = "1751-7311",
publisher = "Cambridge University Press",
number = "2",

}

RIS

TY - JOUR

T1 - Social network analysis in pigs

T2 - impacts of significant dyads on general network and centrality parameters

AU - Büttner, K.

AU - Czycholl, I.

AU - Mees, K.

AU - Krieter, J.

N1 - Funding Information: This research received no external funding. The authors have no competing interests to declare. The regrouping of the animals was performed as part of the normal farm practice, and the behaviour of the animals were recorded with video cameras in the first 3 days after mixing. All experimental work was conducted in accordance with relevant national legislation and approval by an ethics committee was not required. Data are available from the authors upon reasonable request. Publisher Copyright: © 2019 The Animal Consortium

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - agonistic interactions

KW - dominance

KW - group structure

KW - mixing

KW - swine

U2 - 10.1017/S1751731119001836

DO - 10.1017/S1751731119001836

M3 - Journal article

C2 - 31414655

VL - 14

SP - 368

EP - 378

JO - Animal

JF - Animal

SN - 1751-7311

IS - 2

ER -

ID: 328015721