insecta-ant-colony1-day18 (Animal Social Networks)
Download network data
This network dataset is in the category of Animal Social Networks
Visualize insecta-ant-colony1-day18'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 | |
| 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. |
Please cite the following if you use the data:
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.
@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}
}
Network Data Statistics
| Nodes | 99 |
| Edges | 3.4K |
| Density | 0.705628 |
| Maximum degree | 95 |
| Minimum degree | 29 |
| Average degree | 69 |
| Assortativity | 0.0262779 |
| Number of triangles | 188.8K |
| Average number of triangles | 1.9K |
| Maximum number of triangles | 3.2K |
| Average clustering coefficient | 0.790325 |
| Fraction of closed triangles | 0.779214 |
| Maximum k-core | 52 |
| Lower bound of Maximum Clique | 30 |
Network Data Preview
Interactive visualization of insecta-ant-colony1-day18'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
Loading...
Interactive Visualization of Node-level Properties and Statistics
Tools for Interactive Exploration of Node-level Statistics
Visualize and interactively explore insecta-ant-colony1-day18 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.
Please login or join the community to leverage the many other tools and features available in our interactive graph analytics platform.