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aves-weaver-social     (Dynamic Networks)

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This network dataset is in the category of Dynamic 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, Bird, weaver
Edge typeInteraction
FormatUndirected
Edge weightsUnweighted
SpeciesPhiletairus socius
Taxon. classAves
Populationfree-ranging
Geo. locationKimberley, South Africa
Data collectionmark recapture
Interaction typesocial projection bipartite
Definition of interactionA network edge was drawn between individuals that used the same nest chambers either for roosting or nest-building at any given time within a series of observations at the same colony in the same year, either together in the nest chamber at the same time or at different times.
Edge weight typeunweighted
Data collection duration10 months
Time span (within a day)focal follow/ad libitum
DescriptionNetworks represent social data collected from 23 colonies of sociable weavers
Citationvan Dijk, Rene E., et al., "Cooperative investment in public goods is kin directed in communal nests of social birds." Ecology letters 17.9 (2014): 1141-1148.
Edge timestampsThird column encodes the weights for the edges and the fourth column represents the edge timestamps. If the graph is unweighted (has only 3 columns), then the third column represents the timestamps.For this temporal network, edge timestamps are not recorded at the finest granularity (sec. or ms.) and are instead discrete approximations of the actual temporal network. Unfortunately, the actual edge timestamps, that is, when the interactions were actually observed (e.g., at the level of seconds) has not been provided.Hence, one can create a sequence of static snapshot graphs by aggregating all edges that occur at each unique edge timestamp and repeating this for all edge timestamps.

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

Nodes445
Edges1.4K
Density0.0144043
Maximum degree34
Minimum degree1
Average degree6
Assortativity0.229472
Number of triangles7.4K
Average number of triangles16
Maximum number of triangles112
Average clustering coefficient0.692393
Fraction of closed triangles0.574735
Maximum k-core12
Lower bound of Maximum Clique10

Network Data Preview

Interactive visualization of aves-weaver-social's graph structure

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Interactive Visualization of Node-level Properties and Statistics

Tools for Interactive Exploration of Node-level Statistics

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  • Each point represents a node (vertex) in the graph.
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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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