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reptilia-tortoise-network-bsv-1997-inact     (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, Reptile, desert, tortoise
Edge typeInteraction
FormatUndirected
Edge weightsUnweighted
SpeciesGopherus agassizii
Taxon. classReptilia
Populationfree-ranging
Geo. locationNevada, USA
Data collectionradio tags
Interaction typesocial projection bipartite
Definition of interactionA bipartite network was first constructed based on burrow use - an edge connecting a tortoise node to a burrow node indicated burrow use by the individual. Social networks of desert tortoises were then constructed by the bipartite network into a single-mode projection of tortoise nodes.
Edge weight typeunweighted
Data collection duration8 months
Time span (within a day)focal follow/ad libitum
DescriptionNetworks represent social data collected over different years and inactive (NovemberÐFebruary)/active (MarchÐOctober) season.
CitationSah, Pratha, et al. "Inferring social structure and its drivers from refuge use in the desert tortoise, a relatively solitary species." Behavioral Ecology and Sociobiology 70.8 (2016): 1277-1289.

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

Nodes19
Edges17
Density0.0994152
Maximum degree4
Minimum degree1
Average degree1
Assortativity1
Number of triangles30
Average number of triangles1
Maximum number of triangles6
Average clustering coefficient0.263158
Fraction of closed triangles1
Maximum k-core5
Lower bound of Maximum Clique5

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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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