Network Entropy: A System-Theoretic Perspective
Mathias Hudoba de Badyn, Airlie Chapman, Mehran Mesbahi
2015 54TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC) | IEEE | Published : 2015
In this paper, we highlight the importance of two measures associated with networked dynamic systems, namely the loop entropy and the Kolmogorov-Sinai entropy, that quantify the notion of information content in the network. We then proceed to show connections between these measures and certain system theoretic properties that these networks exhibit for two classes of network dynamics. Throughout the paper, we also provide relevant bounds and insights into what these network measures quantify.