mammalia-hyena-networkb (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, hyenas, groupmembership |
| Edge type | Interaction |
| Format | Undirected |
| Edge weights | Weighted |
| Species | Crocuta crocuta |
| Taxon. class | Mammalia |
| Population | free-ranging |
| Geo. location | Masai Mara National Reserve, Kenya |
| Data collection | survey scan |
| Interaction type | group membership |
| Definition of interaction | Association patterns were recorded based on the co-occurrence of each pair of individuals, during the period for which they were concurrently present in the clan. |
| Edge weight type | twice_weight_index |
| Data collection duration | 4 months (approx 16 days each month) |
| Time resolution (within a day) | 15min |
| Time span (within a day) | few hours |
| Description | The three social networks were collected during periods of low (networks A and C) and high (network B) prey abundance. |
| Citation | Holekamp, Kay E., et al. "Society, demography and genetic structure in the spotted hyena." Molecular Ecology 21.3 (2012): 613-632. |
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 | 36 |
| Edges | 585 |
| Density | 0.928571 |
| Maximum degree | 35 |
| Minimum degree | 8 |
| Average degree | 32 |
| Assortativity | -0.074182 |
| Number of triangles | 18K |
| Average number of triangles | 501 |
| Maximum number of triangles | 550 |
| Average clustering coefficient | 0.963124 |
| Fraction of closed triangles | 0.961176 |
| Maximum k-core | 30 |
| Lower bound of Maximum Clique | 29 |
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