Our work focuses on special methods for analysing the fine structure of complex networks comprising many interacting elements with directed or undirected links. In these networks the weight of a link is characterised by the strength of the interaction between its elements. Our investigations include methods for high resolution modularization of networks as well as methods for identifying distinguished links or elements supposedly playing special roles in the network (such as links or elements situated in module centers or overlaps).
Our family of methods for network analysis is based on rendering a novel index to all elements and links of the network called ‘community landscape height value’ quantitatively characterising the centrality of each element and link from the viewpoint of the network as a whole. We analise technical and social networks as well as protein networks.