fish-stickleback-group-7

fish-stickleback-group-7 (Animal Social Networks)

Download network data

This network dataset is in the category of Animal Social Networks

Visualize fish-stickleback-group-7's link structure and discover valuable insights using the interactive network data visualization and analytics platform. Compare with hundreds of other network data sets across many different categories and domains.

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

Network Data Preview

Interactive visualization of fish-stickleback-group-7's graph structure

Interactively explore the networks graph structure!

Use mouse wheel to zoom in/out
Mouseover nodes to see their degree
Drag network to see more details

Interactive Visualization of Node-level Properties and Statistics

Tools for Interactive Exploration of Node-level Statistics

Visualize and interactively explore fish-stickleback-group-7 and its important node-level statistics!

Each point represents a node (vertex) in the graph.
A subset of interesting nodes may be selected and their properties may be visualized across all node-level statistics. To select a subset of nodes, hold down the left mouse button while dragging the mouse in any direction until the nodes of interest are highlighted.This feature allows users to explore and analyze various subsets of nodes and their important interesting statistics and properties to gain insights into the graph data
Zoom in/out on the visualization you created at any point by using the buttons below on the left.
Once a subset of interesting nodes are selected, the user may further analyze by selecting and drilling down on any of the interesting properties using the left menu below.
We also have tools for interactively visualizing, comparing, and exploring the graph-level properties and statistics.

Note: You are not logged in!
Please login or join the community to leverage the many other tools and features available in our interactive graph analytics platform.

Interactive Visualization of Node-level Feature Distributions

Node-level Feature Distributions

degree distribution

degree CDF

degree CCDF

kcore distribution

kcore CDF

kcore CCDF

triangle distribution

triangle CDF

triangle CCDF

X Scale

Linear Power Log

Y Scale

Linear Power Log

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.)
We also include the CDF and CCDF distributions for each graph in the collection.
All visualizations and plots are zoomable. One may zoom-in or out on the data visualization using scrolling.
Panning. Users may also click anywhere on the plot and move the mouse in any direction to pan.
Adjust scale and other application dependent-parameters. All interactive visualizations may adjust the scale which is particularly important in certain types of graph data that contain highly skewed graph properties (power-lawed graphs and/or networks) such as degree distribution.

Discuss and Share

Collaborate and contribute to the first interactive and community-oriented data repository!

Share key insights, awesome visualizations, or simply discuss advantages of data, any observed or known properties, challenges, problems, corrections, and any other helpful comments! Post and discuss recent published works that utilize this dataset (including your own). Any and all feedback is welcome and encouraged.

Login to your profile!