mammalia-macaque-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, rhesusmacaque |
| Edge type | Interaction |
| Format | Undirected |
| Edge weights | Weighted |
| Species | Macaca fuscata |
| Taxon. class | Mammalia |
| Population | semi-ranging |
| Geo. location | Arashiyama, Japan |
| Data collection | survey scan |
| Interaction type | dominance |
| Definition of interaction | The dominance relations between females were determined based on approach-retreat episodes around the food. The dominance range order was arranged based on these dyadic relations. |
| Edge weight type | frequency |
| Data collection duration | 6 months |
| Time resolution (within a day) | 2 hours |
| Time span (within a day) | focal follow/ad libitum |
| Citation | Takahata, Yukio. "Diachronic changes in the dominance relations of adult female Japanese monkeys of the Arashiyama B group." The monkeys of Arashiyama. State University of New York Press, Albany (1991): 123-139. |
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 | 62 |
| Edges | 1.2K |
| Density | 0.617134 |
| Maximum degree | 55 |
| Minimum degree | 17 |
| Average degree | 37 |
| Assortativity | -0.07258 |
| Number of triangles | 29.3K |
| Average number of triangles | 473 |
| Maximum number of triangles | 913 |
| Average clustering coefficient | 0.667145 |
| Fraction of closed triangles | 0.659942 |
| Maximum k-core | 29 |
| Lower bound of Maximum Clique | 12 |
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