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aves-wildbird-network-4     (Animal Social Networks)

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This network dataset is in the category of Animal Social Networks



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Metadata

CategoryAnimal Social Networks
CollectionAnimal Networks
AboutReal-world animal interaction network data sets. Animal interaction data from published studies of wild, captive, and domesticated animals.
Tags
Sourcehttps://bansallab.github.io/asnr/data.html
ShortAnimal Networks
Vertex typeAnimal, Bird, wildbirds
Edge typeInteraction
FormatUndirected
Edge weightsWeighted
SpeciesWild birds N/A
Taxon. classAves
Populationfree-ranging
Geo. locationOxford, UK
Data collectionRFID
Interaction typesocial projection bipartite
Definition of interactionGroups 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 typehalf_weight_index
Data collection duration6 days
Time resolution (within a day)1 sec
Time span (within a day)12 hours
DescriptionEach network represents social data collected for consecutive 6-day time window.
CitationFirth, 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.

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={https://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

Nodes135
Edges2K
Density0.222112
Maximum degree71
Minimum degree1
Average degree29
Assortativity0.214653
Number of triangles63.4K
Average number of triangles469
Maximum number of triangles1.4K
Average clustering coefficient0.821323
Fraction of closed triangles0.718455
Maximum k-core35
Lower bound of Maximum Clique34

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Interactive Visualization of Node-level Feature Distributions

Node-level Feature Distributions

degree distribution

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degree CDF

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degree CCDF

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kcore distribution

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kcore CDF

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kcore CCDF

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triangle distribution

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triangle CDF

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triangle CCDF

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