reptilia-tortoise-network-cs-2011-inact (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 | |
| Source | https://bansallab.github.io/asnr/data.html |
| Short | Animal Networks |
| Vertex type | Animal, Reptile, desert, tortoise |
| Edge type | Interaction |
| Format | Undirected |
| Edge weights | Unweighted |
| Species | Gopherus agassizii |
| Taxon. class | Reptilia |
| Population | free-ranging |
| Geo. location | Nevada, USA |
| Data collection | radio tags |
| Interaction type | social projection bipartite |
| Definition of interaction | A bipartite network was first constructed based on burrow use - an edge connecting a tortoise node to a burrow node indicated burrow use by the individual. Social networks of desert tortoises were then constructed by the bipartite network into a single-mode projection of tortoise nodes. |
| Edge weight type | unweighted |
| Data collection duration | 8 months |
| Time span (within a day) | focal follow/ad libitum |
| Description | Networks represent social data collected over different years and inactive (NovemberÐFebruary)/active (MarchÐOctober) season. |
| Citation | Sah, Pratha, et al. "Inferring social structure and its drivers from refuge use in the desert tortoise, a relatively solitary species." Behavioral Ecology and Sociobiology 70.8 (2016): 1277-1289. |
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={http://networkrepository.com},
year={2015}
}
Network Data Statistics
| Nodes | 10 |
| Edges | 8 |
| Density | 0.177778 |
| Maximum degree | 2 |
| Minimum degree | 1 |
| Average degree | 1 |
| Assortativity | 1 |
| Number of triangles | 6 |
| Average number of triangles | 0 |
| Maximum number of triangles | 1 |
| Average clustering coefficient | 0.6 |
| Fraction of closed triangles | 1 |
| Maximum k-core | 3 |
| Lower bound of Maximum Clique | 3 |
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