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insecta-ant-colony3-day01     (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, Insect, ants
Edge typeInteraction
FormatUndirected
Edge weightsWeighted
SpeciesCamponotus fellah
Taxon. classInsecta
Populationcaptive
Geo. locationUniversity of Lausanne, Laussane, Switzerland
Data collectionvideo
Interaction typephysical contact
Definition of interactionA pair of ants was considered to interact when the front end of one ant was located within the trapezoidal shape representing the other ant.
Edge weight typefrequency
Data collection duration1day
Time resolution (within a day)0.5 sec
Time span (within a day)24 hours
DescriptionNetworks represent six separate colonies of the ant. The authors recorded the position and orientation of all individuals twice per second to reconstruct spatial movement and infer all social interactions occurring over the 41 days of the experiment.
CitationMersch, Danielle P., Alessandro Crespi, and Laurent Keller. "Tracking individuals shows spatial fidelity is a key regulator of ant social organization."Science 340.6136 (2013): 1090-1093.

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

Nodes160
Edges11.1K
Density0.875708
Maximum degree159
Minimum degree57
Average degree139
Assortativity-0.0349647
Number of triangles1.4M
Average number of triangles8.7K
Maximum number of triangles11K
Average clustering coefficient0.896995
Fraction of closed triangles0.895455
Maximum k-core114
Lower bound of Maximum Clique60

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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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