aves-wildbird-network-1

aves-wildbird-network-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	Animal network animal interaction network animal social network bird social network bird network Birds Aves wildbirds social projection bipartite weighted edge weighted network bipartite interaction network
Source	https://bansallab.github.io/asnr/data.html
Short	Animal Networks
Vertex type	Animal, Bird, wildbirds
Edge type	Interaction
Format	Undirected
Edge weights	Weighted
Species	Wild birds N/A
Taxon. class	Aves
Population	free-ranging
Geo. location	Oxford, UK
Data collection	RFID
Interaction type	social projection bipartite
Definition of interaction	Groups were defined as individuals detected on the same nest-box during the same day, and co-memberships represented individuals that overlapped in nest-box exploration patterns during the same day. Networks were calculated from these group-by-individual matrices using the halfweight index.
Edge weight type	half_weight_index
Data collection duration	6 days
Time resolution (within a day)	1 sec
Time span (within a day)	12 hours
Description	Each network represents social data collected for consecutive 6-day time window.
Citation	Firth, Josh A., and Ben C. Sheldon. "Experimental manipulation of avian social structure reveals segregation is carried over across contexts." Proceedings of the Royal Society of London B: Biological Sciences 282.1802 (2015): 20142350.

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	131
Edges	1.4K
Density	0.169583
Maximum degree	57
Minimum degree	1
Average degree	22
Assortativity	0.207071
Number of triangles	27.8K
Average number of triangles	212
Maximum number of triangles	758
Average clustering coefficient	0.803055
Fraction of closed triangles	0.685668
Maximum k-core	25
Lower bound of Maximum Clique	23

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Node-level Feature Distributions

degree distribution

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triangle CDF

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