fish-stickleback-group-4

fish-stickleback-group-4 (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 fish social network fish network Fishs Actinopterygii fishstickleback proximity weighted proximity network edge weighted network interaction network
Source	https://bansallab.github.io/asnr/data.html
Short	Animal Networks
Vertex type	Animal, Fish, fishstickleback
Edge type	Interaction
Format	Undirected
Edge weights	Weighted
Species	Gasterosteus aculeatus
Taxon. class	Actinopterygii
Population	captive
Geo. location	St. Andrews, UK
Data collection	video
Interaction type	group membership
Definition of interaction	A pair of individuals were classed as shoaling if they were within four body lengths of one another from head to head. Gambit of the group approach was then used to assume that a string of fish connected by less than two body lengths were all assumed to be associating with one another.
Edge weight type	frequency
Data collection duration	120 min
Time resolution (within a day)	6 min
Time span (within a day)	120 min
Description	Networks represent social data collected from seven replicate groups of fish
Citation	Atton, N., et al. "Familiarity affects social network structure and discovery of prey patch locations in foraging stickleback shoals." Proceedings of the Royal Society of London B: Biological Sciences 281.1789 (2014): 20140579.

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	10
Edges	45
Density	1
Maximum degree	9
Minimum degree	9
Average degree	9
Assortativity	nan
Number of triangles	360
Average number of triangles	36
Maximum number of triangles	36
Average clustering coefficient	1
Fraction of closed triangles	1
Maximum k-core	10
Lower bound of Maximum Clique	10

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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

degree CDF

degree CCDF

kcore distribution

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kcore CCDF

triangle distribution

triangle CDF

triangle CCDF

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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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