Information-theoretical measures (in particular, Mutual Information) are applied for the probabilistic inference of complex networks. Data Processing Inequality is used to find and assess for direct and indirect interactions impact in complex networks.
We outline the mathematical basis of information-theoretical assessment of complex network structure and discuss some examples of application in the fields of biological systems and social networks.
Information theoretical methods for complex network structure reconstruction
Enrique Hernández-Lemus and Jesús M Siqueiros-García
Complex Adaptive Systems Modeling 2013, 1:8 http://dx.doi.org/10.1186/2194-3206-1-8