mammalia-vampire-bats-foodsharing (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, bats, foodsharing |
| Edge type | Interaction |
| Format | Undirected |
| Edge weights | Weighted |
| Species | Desmodus rotundus |
| Taxon. class | Mammalia |
| Population | captive |
| Geo. location | Bloomfield Hills, Michigan, USA |
| Data collection | video |
| Interaction type | trophallaxis |
| Definition of interaction | Food sharing event were defined as periods where food could be passed that lasted at least 5 s and were separated by more than 5s. |
| Edge weight type | duration |
| Data collection duration | 2 hours |
| Time resolution (within a day) | 1 sec |
| Time span (within a day) | 2 hours |
| Citation | Carter, Gerald G., and Gerald S. Wilkinson. "Food sharing in vampire bats: reciprocal help predicts donations more than relatedness or harassment."Proceedings of the Royal Society of London B: Biological Sciences 280.1753 (2013): 20122573. |
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 | 21 |
| Edges | 72 |
| Density | 0.342857 |
| Maximum degree | 14 |
| Minimum degree | 1 |
| Average degree | 6 |
| Assortativity | -0.299669 |
| Number of triangles | 426 |
| Average number of triangles | 20 |
| Maximum number of triangles | 48 |
| Average clustering coefficient | 0.547585 |
| Fraction of closed triangles | 0.658423 |
| Maximum k-core | 8 |
| Lower bound of Maximum Clique | 8 |
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