mammalia-sheep-dominance (Animal Social Networks)
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This network dataset is in the category of Animal Social Networks
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Metadata
| Category | Animal Social Networks |
| Collection | Animal Networks |
| About | Real-world animal interaction network data sets. Animal interaction data from published studies of wild, captive, and domesticated animals. |
| Tags | |
| Source | https://bansallab.github.io/asnr/data.html |
| Short | Animal Networks |
| Vertex type | Animal, Mammal, sheep |
| Edge type | Interaction |
| Format | Undirected |
| Edge weights | Weighted |
| Species | Ovis canadensis |
| Taxon. class | Mammalia |
| Population | semi-ranging |
| Geo. location | Montana, USA |
| Data collection | focal sampling |
| Interaction type | dominance |
| Definition of interaction | Social status was determined by assembling a win-loss matrix based on the outcome of agonistic interactions. The winner of a dominance fight, involving a series of butts and clashes, was recorded as winning one interaction. |
| Edge weight type | frequency |
| Data collection duration | 15 months |
| Time span (within a day) | focal follow/ad libitum |
| Citation | Christine C Hass. Social status in female bighorn sheep (Ovis canadensis): Expression, development and reproductive correlates. J. of Zoology, 225(3):509-523, 1991. |
Please cite the following if you use the data:
Note that if you transform/preprocess the data, please consider sharing the data by uploading it along with the details on the transformation and reference to any published materials using it.
@inproceedings{nr,
title={The Network Data Repository with Interactive Graph Analytics and Visualization},
author={Ryan A. Rossi and Nesreen K. Ahmed},
booktitle={AAAI},
url={https://networkrepository.com},
year={2015}
}
Network Data Statistics
| Nodes | 28 |
| Edges | 235 |
| Density | 0.621693 |
| Maximum degree | 23 |
| Minimum degree | 4 |
| Average degree | 16 |
| Assortativity | -0.00400026 |
| Number of triangles | 2.9K |
| Average number of triangles | 105 |
| Maximum number of triangles | 173 |
| Average clustering coefficient | 0.716585 |
| Fraction of closed triangles | 0.727789 |
| Maximum k-core | 15 |
| Lower bound of Maximum Clique | 11 |
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