mammalia-dolphin-florida-social (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, dolphin |
| Edge type | Interaction |
| Format | Undirected |
| Edge weights | Weighted |
| Species | Tursiops truncatus |
| Taxon. class | Mammalia |
| Population | free-ranging |
| Geo. location | Cedar Key, Florida, USA |
| Data collection | survey scan |
| Interaction type | spatial proximity |
| Definition of interaction | Interactions characterized by prey capture or persistent incidents of prey searching as indicated by long dives or specialized feeding behaviours with direction shifts between surfacings. |
| Edge weight type | frequency |
| Data collection duration | 124 days |
| Time span (within a day) | 5min |
| Description | Four networks: an overall network that does not take behaviour into account, and the socialize network, the travel network and the forage network that correspond to their respective behaviours. |
| Citation | Gazda, Stefanie, et al. "The importance of delineating networks by activity type in bottlenose dolphins (Tursiops truncatus) in Cedar Key, Florida." Royal Society open science 2.3 (2015): 140263. |
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 | 151 |
| Edges | 1.6K |
| Density | 0.137219 |
| Maximum degree | 69 |
| Minimum degree | 1 |
| Average degree | 20 |
| Assortativity | 0.184785 |
| Number of triangles | 29.1K |
| Average number of triangles | 192 |
| Maximum number of triangles | 875 |
| Average clustering coefficient | 0.788258 |
| Fraction of closed triangles | 0.613121 |
| Maximum k-core | 31 |
| Lower bound of Maximum Clique | 31 |
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