Data for: Collective signalling is shaped by feedbacks between signaller variation, receiver perception, and acoustic environment in a simulated communication network
收藏DataONE2023-12-18 更新2024-06-08 收录
下载链接:
https://search.dataone.org/view/https://doi.org/10.5061/dryad.n8pk0p338
下载链接
链接失效反馈官方服务:
资源简介:
Communication takes place within a network of multiple signallers and receivers. Social network analysis provides tools to quantify how an individualâs social positioning affects group dynamics, and the subsequent biological consequences. However, network analysis is rarely applied to animal communication, likely due to the logistical difficulties of monitoring natural communication networks. We generated a simulated communication network to investigate how variation in individual communication behaviours generates network effects, and how this communication networkâs structure feeds back to affect future signalling interactions. We simulated competitive acoustic signalling interactions among chorusing individuals and varied several parameters related to communication and chorus size to examine their effects on calling output and social connections. Larger choruses had higher noise levels, and this reduced network density and altered the relationships between individual traits and commu..., , , # Data for: Collective signalling is shaped by feedbacks between signaller variation, receiver perception, and acoustic environment in a simulated communication network
By Michael Reichert - 12/05/2023. Contact for questions
### **Data and code used for simulations and analyses.**
There are 7 files (in addition to this readme file). Data files uploaded to Dryad. Code files available on Zenodo.
#### 1. Simulation\_Code.R
```
This is the R code that was used to run the simulations. Includes the actual simulation function plus some lines to manipulate and save the output. Note that the function is slow and is set up for parallel processing on a supercomputer, so use with caution.
```
#### 2. IndividualData.csv
```
This is output showing characteristics of each simulated individual in each simulation run. This is a large dataset, in total there were 2.2 million simulated individuals across the simulations. Details on the variables contained in this file below. These variables in...
创建时间:
2023-12-18



