DynComm: An R Package for Evolving and Dynamic Community Detection in Social Networks

2. Background

Figures 1 and 2 show examples of contact Evolving Network. Figure 1 shows a labelled aggregate network where the labels denote the times of contact, and Figure 2 shows a time-line plot, where each of the lines corresponds to one vertex and time runs from left to right.

Figure 1.

Labelled aggregate network: time of contact

Figure 2.

Time line 1

Figures 3 and 4 show examples of interval Evolving Network. Figure 3 shows the labelled aggregate network where the labels denote the time interval of the relation, and Figure 4 shows a time-line plot, where each of the lines corresponds to one vertex and grey zones the time duration between two edges.

Figure 3.

Labelled aggregate network: time interval of relation

Figure 4.

Time line 2