SocANet 1.0

Social Animal Networks  

Cuauhcihuatl Vital, Emília P. Martins, Indiana University


SocANet  calculates various network metrics from a list of dyadic interactions. With the aid of SocANet, researchers can explore the effects of sampling and group size on metrics for a particular research design. Researchers may want to generate data while varying parameters such as number of actors, number of recorded interactions and percentage of gatekeepers according to their research design. Dramatic changes (increase/decrease) of a metric would suggest a strong sensitivity to certain aspects and indicate whether it is a good choice for particular behavioral questions.

SocANet includes two pieces of software. The first part, written in Java (c), simulates animal interactions under certain conditions. To begin each run of the simulation, the user should provide the list of individual animals (i.e., actors) in a text file (*.txt). The second part of the software, written in R (c), calculates network metrics of all the files at a given location.

Download it

     For the java simulator (note, you need to compile the file once you download it; it is not compressed so you can modify it as you wish)

         With gatekeepers click here

         Without gatekeepers click here

         Requires Java Virtual Machine, which can be downloaded here

   For the R statistical script click here

         Requires R, which can be downloaded here

Requires libraries sna &  igraph (see tutorial for details)

   For the Tutorial click here

  For a sample input for R script click here

 

 

Please reference as:

            Vital, C. & Martins, E.P. 2007. SocANet: Software for Analyzing Animal Social Networks. http://www.indiana.edu/~martinsl/Programs/SocANet.  

 

Funding for SocANet came from the Center for the Integrative Study of Animal Behavior and the National Science Foundation. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of CISAB or the NSF.

  


[Martins Lab] [IU CISAB] [IU Biology Department] [Indiana University]

Last edited     07/18/2007