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reptilia-lizard-network-social     (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, lizard
Edge typeInteraction
FormatUndirected
Edge weightsWeighted
SpeciesTiliqua rugosa
Taxon. classReptilia
Populationfree-ranging
Geo. locationKungara, South Australia
Data collectionlogger
Interaction typespatial proximity
Definition of interactionTwo lizards were assumed to had made a social contact if they were within 2 m of each other at any of the synchronized 10 min GPS locations.
Edge weight typesimple_ratio_index
Data collection duration120 days
Time resolution (within a day)10 minutes
Time span (within a day)24 hours
CitationBull, C. M., S. S. Godfrey, and D. M. Gordon. "Social networks and the spread of Salmonella in a sleepy lizard population." Molecular Ecology 21.17 (2012): 4386-4392.

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

Nodes60
Edges318
Density0.179661
Maximum degree23
Minimum degree2
Average degree10
Assortativity0.350035
Number of triangles1.9K
Average number of triangles32
Maximum number of triangles101
Average clustering coefficient0.566181
Fraction of closed triangles0.535356
Maximum k-core10
Lower bound of Maximum Clique7

Network Data Preview

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Interactive Visualization of Node-level Properties and Statistics

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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:

  • Degree, k-core, triangles, and triangle-core distributions. We include plots for each of the fundamental graph features and counts of the number with a particular property (i.e., number of nodes that form k triangles or have degree k, etc.)
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