Species: Haemorhous mexicanus

Taxonomic class: Aves

Population type: free-ranging

Geographical location: Virginia Tech, Virginia, USA

Data collection technique: RFID

Interaction type: social projection bipartite

Definition of interaction: A machine learning algorithm was applied to identify clusters of detections on feeders. Next, the network was generated based on patterns of co-occurrence by individuals in the same feeding events. Asociations between birds were defined using the simple ratio index.

Edge weight type: simple_ratio_index

Total duration of data collection: 137 days

Time resolution of data collection (within a day): 1 sec

Time span of data collection (within a day): 24 hours




list of igraph objects


https: //bansallab.github.io/asnr/


Adelman, James S., et al. "Feeder use predicts both acquisition and transmission of a contagious pathogen in a North American songbird." Proc. R. Soc. B. Vol. 282. No. 1815. The Royal Society, 2015.