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mammalia-voles-plj-trapping-36     (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, Mammal, voles
Edge typeInteraction
FormatUndirected
Edge weightsWeighted
SpeciesMicrotus agrestis
Taxon. classMammalia
Populationfree-ranging
Geo. locationNorthumberland, England
Data collectionmark recapture
Interaction typesocial projection bipartite
Definition of interactionAn edge was inserted into the network whenever two voles were caught in at least one common trap over the primary trapping sessions being considered
Edge weight typefrequency
Data collection duration6 days
Time resolution (within a day)12 hours
Time span (within a day)24 hours
DescriptionNetworks represent social data combined over two consecutive trapping sessions at four sites (BHP, KCS, PLJ and ROB). Populations were trapped in "primary" sessions every 28 days from March to November, and every 56 days from November to March.
CitationDavis, Stephen, et al. "Spatial analyses of wildlife contact networks." Journal of the Royal Society Interface 12.102 (2015): 20141004.

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

Nodes9
Edges7
Density0.194444
Maximum degree2
Minimum degree1
Average degree1
Assortativity-0.4
Number of triangles3
Average number of triangles0
Maximum number of triangles1
Average clustering coefficient0.333333
Fraction of closed triangles0.6
Maximum k-core3
Lower bound of Maximum Clique2

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Interactive visualization of mammalia-voles-plj-trapping-36's graph structure

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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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All visualizations and analytics are interactive and flexible for exploratory analysis and data mining in real-time and include the following features:

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