A paper entitled "Entropy Measures of Human Communication Dynamics," by Marcin Kulisiewicz, Przemyslaw Kazienko, Boleslaw K. Szymanski, and Radoslaw Michalski was published by Scientific Reports, 8:15697. Oct., 2018.

A paper entitled "Entropy Measures of Human Communication Dynamics," by Marcin Kulisiewicz, Przemyslaw Kazienko, Boleslaw K. Szymanski, and Radoslaw Michalski was published by
Scientific Reports, 8:15697. Oct., 2018, doi::10.1038/s41598-018-3257 within the collaboration supported by the EU Renoir Grant and by the NS CTA program of ARL. The paper focuses on human communication that is often represented as a temporal social network, and evaluated in terms of its uniqueness. The authors propose a set of new entropy-based measures for human communication dynamics represented within the temporal social network as event sequences. Using real world datasets and random interaction series of different types, the authors find that real human contact events always significantly differ from random ones. This human distinctiveness increases over time and by means of the proposed entropy measures, we can observe sociological processes that take place within dynamic communities.