Digital currency scaling with innovation in information data synthesis

This research is conducted with the aim of determining the mass of digital currencies and tries to express a new point of view for the mass measurement of virtual currencies by combining the information data available in the real space and the virtual space.

In terms of the type of research, the current research is an applied research, and in terms of the implementation method, it is a mixed research method with two qualitative research methods (with thematic analysis technique) and quantitative method (with survey technique). The statistical population is the qualitative part of elites and experts, and the statistical population is the quantitative part of cryptocurrency crime detection experts. The data collection tool in the qualitative part is a semi-structured interview with the snowball sampling method to achieve theoretical saturation, and the tool for collecting the quantitative part is a questionnaire whose validity and reliability have been confirmed before implementation through face validity and Cronbach's alpha. Thematic analysis research data were analyzed by coding method and quantitative data using spss software.

The findings of the research show that the three main categories of structure, decision-making and information are effective on the dependent variable of the research, i.e. the massing of virtual currencies.

It is concluded that the most important indicators of the comprehensive system of criminalization of digital currencies are the development of guidelines and guidelines for criminalization of digital currencies, and there are traces of money laundering through digital currencies and the identification of information and cyberspace agents that cause criminalization of virtual currencies in The research is clearly visible. These cases are important factors of disorder and disturbance in economic security, and failure to extract a model for these currencies, its economic consequences will be irreparable.