Network motifs are small building blocks consisting of a handful of nodes. Complex networks are made up out of countless of these little network patterns. Master student Hanjo Boekhout worked on algorithms for efficiently counting these motifs in a large-scale multilayer setting in which multiple types of interaction between nodes play a role. He extended existing temporal motif counting algorithms to incorporate the layer aspect, as well as partial timing of the edges. Hanjo presented his findings at the Complex Networks conference in Cambridge in December 2018. The work is summarized in the following paper:

• H.D. Boekhout, W.A. Kosters and F.W. Takes, Counting Multilayer Temporal Motifs in Complex Networks, in Proceedings of the 7th International Conference on Complex Networks, Studies in Computational Intelligence 815: 565-577, Springer, 2018.