mammalia-possum-burrow-sharing     (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, possum |
Edge type | Interaction |
Format | Undirected |
Edge weights | Weighted |
Species | Trichosurus cunninghami |
Taxon. class | Mammalia |
Population | free-ranging |
Geo. location | Cambarville, Victoria, Australia |
Data collection | logger |
Interaction type | social projection bipartite |
Definition of interaction | The proximity loggers recorded the identity of interacting individuals (based on a threshold proximity set to detect den-sharing events) and the time and length of those interactions. From these data, den-sharing was recorded as a binary variable with 1 representing an instance of day-time den-sharing and 0 representing the use of separate dens for every pairwise combination of individuals on each of the 223 days of data collection. |
Edge weight type | frequency |
Data collection duration | 3 months |
Time resolution (within a day) | 1 sec |
Time span (within a day) | 24 hours |
Citation | Banks, Sam C., et al. "Adaptive responses and disruptive effects: how major wildfire influences kinship‐based social interactions in a forest marsupial." Molecular ecology 21.3 (2012): 673-684. |
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 | 15 |
Edges | 13 |
Density | 0.12381 |
Maximum degree | 4 |
Minimum degree | 1 |
Average degree | 1 |
Assortativity | 0.434783 |
Number of triangles | 12 |
Average number of triangles | 0 |
Maximum number of triangles | 3 |
Average clustering coefficient | 0.2 |
Fraction of closed triangles | 0.631579 |
Maximum k-core | 4 |
Lower bound of Maximum Clique | 4 |
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