dynsbm (version 0.7)

antsMersch: Dynamic contact network of ants

Description

Colonies of the ant Camponotus fellah were followed with a tracking system that monitored the individual positions over days of observations and dynamic social interactions were deduced from physical proximity. The data corresponds to a colony of N=152 ants observed during T=10 days. Edge weights were binned into K=3 categories corresponding to low, medium and high interaction intensity.

Usage

data(antsMersch)

Format

An array of size 10x152x152.

References

Mersch, D. P., Crespi, A., Keller, L., Tracking individuals shows spatial fidelity is a key regulator of ant social organization, Science, 340(6136), 1090-1093 (2013) http://dx.doi.org/10.1126/science.1234316

Miele, V and Matias, C, Revealing the hidden structure of dynamic ecological networks, Royal Society Open Science (2017)

Examples

# NOT RUN {
data(antsMersch)

## better to use nstart>>1 starting points
## but estimation can be long;
## better to use nb.cores>1 cores
list.dynsbm <- select.dynsbm(antsMersch, 
				Qmin=1, Qmax=6, edge.type="discrete", K=3, 
				nstart=20, nb.cores=4) 
				

## selection of Q=3 with the 'elbow' method
dynsbm <- list.dynsbm[[3]]

## plotting intra/inter connectivity patterns
connectivity.plot(dynsbm, antsMersch)

## plotting switches between groups
alluvial.plot(dynsbm, timestep.abbrev="D", only.present=F)
# }