Finding useful information in large amounts of heterogeneous data is an increasingly important part of digital forensics, with data in the form of complex networks most often helping to detect new patterns and acquire new knowledge. As part of the research and development project, we will design upgrades to the existing analytical platform, which enables the analysis of data in the form of a complex network. The awards will enable the integration of new heterogeneous data streams (eg social network data, telephone conversations, and air passenger data) into a graph format. The main innovation will be the possibility of constructing a new graph above the input data, in case they are not sufficiently internally connected. We will also enable the fusion of new input data in the form of a graph with existing heterogeneous input data (eg banking transactions) in the form of a graph, based on the time and / or space of the entity. We will additionally define new data models, examine the suitability of existing algorithms over given data models, and develop new data and visual analytics algorithms to study new input data. As part of the project, we will also introduce researchers to new advanced techniques. With this project, we will thus strengthen cooperation between the security authorities of the Republic of Slovenia and the University of Maribor, Faculty of Electrical Engineering, Computer Science and Informatics (UM FERI).