Modeling, Computation and Prediction in Complex Networks
Research on Complex Networks has progressed to a point where Complex Networks are used not just for modeling, but also for computing various statistical and observable features, as well as prediction. Another topic of interest are methods of representation of complex networks that improve computations on these networks, or new algorithms for computing known network features. The goal of this special issue is to gather articles from the 2016 NetSciX conference that pursue these research directions.
Guest Editor: Adam Wierzbicki, Polish-Japanese Academy of Information Technology, Poland