fish-guppy-familiar-1 (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, Fish, guppy |
| Edge type | Interaction |
| Format | Undirected |
| Edge weights | Weighted |
| Species | Poecilia reticulata |
| Taxon. class | Actinopterygii |
| Population | captive |
| Geo. location | Louisville, Kentucky |
| Data collection | video |
| Interaction type | spatial proximity |
| Definition of interaction | A contact phase between two individuals was one or more consecutive observations in which they were recorded as being within four body length to one another. |
| Edge weight type | frequency |
| Data collection duration | 90min |
| Time resolution (within a day) | 10 seconds |
| Time span (within a day) | 90min |
| Description | Networks represent 10 independent replicates of group of 5 guppies that were familiar with each other |
| Citation | Hasenjager, Matthew J., and Lee Alan Dugatkin. "Familiarity affects network structure and information flow in guppy (Poecilia reticulata) shoals." Behavioral Ecology (2016): arw152. |
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 | 6 |
| Edges | 15 |
| Density | 1 |
| Maximum degree | 5 |
| Minimum degree | 5 |
| Average degree | 5 |
| Assortativity | nan |
| Number of triangles | 60 |
| Average number of triangles | 10 |
| Maximum number of triangles | 10 |
| Average clustering coefficient | 1 |
| Fraction of closed triangles | 1 |
| Maximum k-core | 6 |
| Lower bound of Maximum Clique | 6 |
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