The subject matter of the article is a problem that is relevant for developing economies. A legal foundation for economy operation development is consolidated slowly; instead, an illegal flow of money and corruption the population gets actively involved into are expanding. According to official records, the number of unaccounted employees who avoid taxation has exceeded 15 million in Russia. When studying this phenomenon, researchers mainly refer to shadow economy whose scale and financial damage inflicted on the country are known. Population masses involved in the illegal flow of money operate in the shadows, since the latency of corruption processes makes it difficult to explore this phenomenon and invokes sociological methods along with economic methods. The purpose of the article is to show the structure of Russian population's involvement in the illegal cash flow turnover in terms of three aspects: presence in the shadow economy, involvement in corrupt practices, and concealment of a fraction of income aiming to non-payment of taxes. When solving these problems, the authors were to use the method of applied sociology with a subsequent transformation of aggregated information into empirical indicators by economic methods. Based on the research, the authors have explored the structure and motivation of the population to participate in the illegal flow of money, calculated the aggregate economic damage from all types of population incomes that are not undocumented by revenue authorities. By revealing the latent structure of the illegal cash flow, the research findings enable to more accurately plan priority directions of efforts to be made by fiscal bodies to neutralize the population participation in illegal economic and financial activities.

The technology of BlockChain and cryptocurrency is an actual topic for humanity today. There are different policies regulating cryptocurrencies, but they are still far from perfect. The difficulty of technical regulation of these systems is beyond doubt, many countries are only at the stage of discussing the status of the currencies, some are extremely supportive of them. However, it is undeniable that more and more countries will introduce regulations in the field of cryptocurrencies, focusing, firstly, on the structure of their own economy.

No abstract

The article is devoted to comparing the efficiency of algorithms for processing Bitcoin blockchain transaction database. The article describes the algorithm of vertex marking developed by the group. Based on the comparison of this and other algorithms, it is expected to identify the most effective algorithm for clustering addresses based on belonging to a single user. The Bitcoin database contains information about millions of financial transactions. Even though information about transactions is anonymous, there are methods for combining user addresses into wallets. In this article, we study algorithms of searching connectivity components, which are based on one of the methods of combining wallets based on the heuristic feature of the «total waste» of one user. The emphasis is placed on the practical aspects of implementation – hardware limitations in processing big data sets, as well as the choice of a solution for many graph connectivity components – the maximum connected set of graph vertices, in other words, a set of nonempty vertex sets and a set of vertex pairs.

No abstract