On the scale of the past ten years, modern societies have developed enormous communication and social networks. Their classification and information retrieval becomes a formidable task for the society. Various search engines have been developed by private companies which are actively used by Internet users. Due to the recent enormous development of World Wide Web and communication networks, new tools and algorithms should be invented to characterize the properties of these networks on a more detailed and precise level. It is also highly important to have new tools to classify and rank enormous amount of network information in a way adapted to internal network structures and characteristics. The project will develop new algorithms to facilitate classification and information retrieval from large directed networks, including PageRank and CheiRank with two-dimensional ranking proposed by partners, using newly developed Monte Carlo methods. The Google matrix formed by the links of the network will be analyzed by analytical tools of Stochastic Processes, Random Matrix Theory and quantum chaos and by efficient numerical methods for large matrix diagonalization including the Arnoldi method. New tools and algorithms produced by the project will create fundamental basis for development of new types of search engines which will put Europe on leading positions in this important area dominated at present by other countries. These tools and engines will be actively used for modern networks, including mobile communication networks which will play more and more important role in future. New characterization of complex networks will allow to manage in an efficient and rapid way information extraction for social networks, communication and other networks. The project will create efficient voting systems in social networks that will pave the way for new types of democracy solutions in societies at a high communication level.