reptilia-lizard-network-social

reptilia-lizard-network-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	Animal network animal interaction network animal social network reptile social network reptile network Reptiles Reptilia lizard proximity weighted proximity network edge weighted network interaction network
Source	https://bansallab.github.io/asnr/data.html
Short	Animal Networks
Vertex type	Animal, Reptile, lizard
Edge type	Interaction
Format	Undirected
Edge weights	Weighted
Species	Tiliqua rugosa
Taxon. class	Reptilia
Population	free-ranging
Geo. location	Kungara, South Australia
Data collection	logger
Interaction type	spatial proximity
Definition of interaction	Two lizards were assumed to had made a social contact if they were within 2 m of each other at any of the synchronized 10 min GPS locations.
Edge weight type	simple_ratio_index
Data collection duration	120 days
Time resolution (within a day)	10 minutes
Time span (within a day)	24 hours
Citation	Bull, C. M., S. S. Godfrey, and D. M. Gordon. "Social networks and the spread of Salmonella in a sleepy lizard population." Molecular Ecology 21.17 (2012): 4386-4392.

Acknowledgements & Citation Policy

Please cite the following if you use the data:

@inproceedings{nr, title={The Network Data Repository with Interactive Graph Analytics and Visualization}, author={Ryan A. Rossi and Nesreen K. Ahmed}, booktitle={AAAI}, url={http://networkrepository.com}, year={2015} }

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.

Network Data Statistics

Nodes	60
Edges	318
Density	0.179661
Maximum degree	23
Minimum degree	2
Average degree	10
Assortativity	0.350035
Number of triangles	1.9K
Average number of triangles	32
Maximum number of triangles	101
Average clustering coefficient	0.566181
Fraction of closed triangles	0.535356
Maximum k-core	10
Lower bound of Maximum Clique	7

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Interactive Visualization of Node-level Feature Distributions

Node-level Feature Distributions

degree distribution

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triangle CDF

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