insecta-ant-colony3-day02

insecta-ant-colony3-day02 (Animal Social Networks)

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This network dataset is in the category of Animal Social Networks

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Metadata

Category	Animal Social Networks
Collection	Animal Networks
About	Real-world animal interaction network data sets. Animal interaction data from published studies of wild, captive, and domesticated animals.
Tags	Animal network animal interaction network animal social network insect social network insect network Insects Insecta ants proximity weighted proximity network edge weighted network interaction network
Source	https://bansallab.github.io/asnr/data.html
Short	Animal Networks
Vertex type	Animal, Insect, ants
Edge type	Interaction
Format	Undirected
Edge weights	Weighted
Species	Camponotus fellah
Taxon. class	Insecta
Population	captive
Geo. location	University of Lausanne, Laussane, Switzerland
Data collection	video
Interaction type	physical contact
Definition of interaction	A 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 type	frequency
Data collection duration	1day
Time resolution (within a day)	0.5 sec
Time span (within a day)	24 hours
Description	Networks 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.
Citation	Mersch, 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.

Acknowledgements & Citation Policy

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={http://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

Nodes	160
Edges	9.8K
Density	0.773899
Maximum degree	153
Minimum degree	31
Average degree	123
Assortativity	-0.0253771
Number of triangles	1M
Average number of triangles	6.3K
Maximum number of triangles	9.1K
Average clustering coefficient	0.824947
Fraction of closed triangles	0.819776
Maximum k-core	95
Lower bound of Maximum Clique	42

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