aves-thornbill-farine (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, thornbill, groupmembership |
| Edge type | Interaction |
| Format | Undirected |
| Edge weights | Weighted |
| Species | Acanthiza N/A |
| Taxon. class | Aves |
| Population | free-ranging |
| Geo. location | Canberra, Australia |
| Data collection | survey scan |
| Interaction type | group membership |
| Definition of interaction | Flock membership was identified based on frequent interactions between flocks and large gaps between flocks. Association strength of each dyad was calculated using the simple ratio index. |
| Edge weight type | frequency |
| Data collection duration | 2 months |
| Time span (within a day) | focal follow/ad libitum |
| Citation | Farine, Damien R., and Peter J. Milburn. "Social organisation of thornbill-dominated mixed-species flocks using social network analysis." Behavioral Ecology and Sociobiology 67.2 (2013): 321-330. |
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 | 0.608673 |
| Maximum degree | 55 |
| Minimum degree | 8 |
| Average degree | 37 |
| Assortativity | -0.0520114 |
| Number of triangles | 35.1K |
| Average number of triangles | 565 |
| Maximum number of triangles | 972 |
| Average clustering coefficient | 0.780759 |
| Fraction of closed triangles | 0.757586 |
| Maximum k-core | 30 |
| Lower bound of Maximum Clique | 27 |
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