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Entropy Measures of Human Communication Dynamics.


ABSTRACT: Human communication is commonly represented as a temporal social network, and evaluated in terms of its uniqueness. We 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 we 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.

SUBMITTER: Kulisiewicz M 

PROVIDER: S-EPMC6200760 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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Entropy Measures of Human Communication Dynamics.

Kulisiewicz Marcin M   Kazienko Przemysław P   Szymanski Boleslaw K BK   Michalski Radosław R  

Scientific reports 20181024 1


Human communication is commonly represented as a temporal social network, and evaluated in terms of its uniqueness. We 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 we find that real human contact events always significantly differ from random ones. This human distinctiveness increases over time and by means of the proposed e  ...[more]

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