mammalia-elephantseal-2012-2013 (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, elephantseal |
| Edge type | Interaction |
| Format | Undirected |
| Edge weights | Weighted |
| Species | Mirounga angustirostris |
| Taxon. class | Mammalia |
| Population | free-ranging |
| Geo. location | California, USA |
| Data collection | survey scan |
| Interaction type | dominance |
| Definition of interaction | Dominance status determined by Elo rating based on winner of an competitive interaction and intensity of interaction |
| Edge weight type | frequency |
| Data collection duration | 69 days |
| Time span (within a day) | focal follow/ad libitum |
| Description | Network represent interactions collected over different years and/or in different colonies |
| Citation | Casey, Caroline, et al. "Rival assessment among northern elephant seals: evidence of associative learning during male–male contests." Royal Society open science 2.8 (2015): 150228. |
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 | 35 |
| Edges | 23 |
| Density | 0.0386555 |
| Maximum degree | 3 |
| Minimum degree | 1 |
| Average degree | 1 |
| Assortativity | -0.0298507 |
| Number of triangles | 3 |
| Average number of triangles | 0 |
| Maximum number of triangles | 1 |
| Average clustering coefficient | 0.0666667 |
| Fraction of closed triangles | 0.230769 |
| Maximum k-core | 3 |
| Lower bound of Maximum Clique | 3 |
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