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Data from: Division of labor as a bipartite network (Dataset)
| Content Provider | Dryad |
|---|---|
| Author | Pasquaretta, Cristian Jeanson, Raphael |
| Abstract | Bipartite ecological networks are increasingly used to described and model relationships between interacting species (e.g. plant-pollinator or host parasite). Here, we apply network methods developed in community ecology to quantify division of labor in insect societies. We consider two quantitative indices (H2' and d') derived from information theory that inform on how much the actual patterns of task performance deviates from the null expectation that workers perform tasks randomly. In addition, we computed network modularity to identify clusters of specialized individuals that are preferentially engaged in the completion of subset of available tasks. We analyzed both simple synthetic networks, varying in size and degree of specialization, and published datasets to introduce the metrics and to show that a bipartite approach provides useful insights into task allocation. Considering division of labor as a bipartite network offers a conceptual framework that could substantially increase our understanding of division of labor in animal societies. |
| File Size | 159753 |
| File Format | HTM / HTML |
| ISSN | 10452249 |
| DOI | 10.5061/dryad.45bf4 |
| Alternate Webpage(s) | https://datadryad.org/stash/downloads/file_stream/39715 |
| Language | English |
| Publisher Date | 2017-11-14 |
| Access Restriction | Open |
| Subject Keyword | Task Allocation Interaction Network Two-modes Network Social Insects Division of Labor |
| Content Type | Text |
| Resource Type | Data Set |
| Subject | Animal Science and Zoology Ecology, Evolution, Behavior and Systematics |
