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insecta-ant-colony2     (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, 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.
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

Nodes131
Edges139.9K
Density16.4328
Maximum degree3.3K
Minimum degree788
Average degree2.1K
Assortativity0.1407
Number of triangles325.7M
Average number of triangles2.5M
Maximum number of triangles3.9M
Average clustering coefficient1.21323
Fraction of closed triangles0.988167
Maximum k-core1.5K
Lower bound of Maximum Clique159

Network Data Preview

Interactive visualization of insecta-ant-colony2'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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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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