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mammalia-baboon-association-group17     (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, baboon
Edge typeInteraction
FormatUndirected
Edge weightsWeighted
SpeciesPapio cynocephalus
Taxon. classMammalia
Populationfree-ranging
Geo. locationAmboseli National Park, Kenya
Data collectionfocal sampling
Interaction typespatial proximity
Definition of interactionThese networks were constructed based on nearest neighbour data collected during focal sampling.
Edge weight typefrequency
Data collection duration30days
Time span (within a day)focal follow/ad libitum
DescriptionNetworks represent grooming interaction or association between five social groups of baboons. Each network summarizes data collected within 30 days before and 90 days after each knockout. A natural knockout was considered to have occurred when a given alpha or beta male was present in the group for at least three months prior to his disappearance, and then he disappeared permanently from the group.
CitationFranz, Mathias, Jeanne Altmann, and Susan C. Alberts. "Knockouts of high-ranking males have limited impact on baboon social networks." Current zoology 61.1 (2015): 107-113.

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
Edges15
Density0.416667
Maximum degree6
Minimum degree2
Average degree3
Assortativity-0.471816
Number of triangles15
Average number of triangles1
Maximum number of triangles4
Average clustering coefficient0.425926
Fraction of closed triangles0.340909
Maximum k-core3
Lower bound of Maximum Clique3

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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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