aves-barn-swallow-non-physical (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, Bird, barnswallow |
| Edge type | Interaction |
| Format | Undirected |
| Edge weights | Weighted |
| Species | Hirundo rustica |
| Taxon. class | Aves |
| Population | free-ranging |
| Geo. location | Boulder County, Colorado, USA |
| Data collection | logger |
| Interaction type | physical contact |
| Definition of interaction | Interaction 0.1 m and closer |
| Edge weight type | frequency |
| Data collection duration | 11 days |
| Time resolution (within a day) | 1 sec |
| Time span (within a day) | 6 hours |
| Description | Two networks were constructed with edges weighted by the number of interactions at two spatial proximities: body contact interactions and all other spatially proximate interactions |
| Citation | Levin, Iris I., et al. "Stress response, gut microbial diversity and sexual signals correlate with social interactions." Biology Letters 12.6 (2016): 20160352. |
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 | 17 |
| Edges | 122 |
| Density | 0.897059 |
| Maximum degree | 16 |
| Minimum degree | 9 |
| Average degree | 14 |
| Assortativity | -0.152797 |
| Number of triangles | 1.5K |
| Average number of triangles | 90 |
| Maximum number of triangles | 106 |
| Average clustering coefficient | 0.928954 |
| Fraction of closed triangles | 0.921687 |
| Maximum k-core | 14 |
| Lower bound of Maximum Clique | 14 |
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