Description Usage Format Source References Examples
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.
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An array of size 10x152x152.
http://datadryad.org/resource/doi:10.5061/dryad.8d8h7
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)
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | ## 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)
## End(Not run)
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