讲座时间：2026年6月1日 16:30--17:30
讲座地点：管理楼216室
讲座主题：Metagraph-based unified modeling of complex financial and social network structures
讲座嘉宾简介
Irina S. Karabulatova, Professor, Doctor of Philology, Academician of the Russian Academy of Nature Sciences, Academician of Leibniz European Academy of Nature Sciences (Hanover, Germany), winner of the title "The Best Popular Scientist of 2025 year" (according to the Springer Nature publishing house), Honorary Professor of Heilongjiang University, Honorary Professor of Lovely Professional University (India, top 100 world universities), Honored Worker of Culture of the Republic of Kazakhstan.
讲座摘要
The digital transformation of urban economies requires the joint analysis of complex financial and social networks, a critical task governance and anti-money laundering (AML/CFT) systems. However, current modelling practicesvremsin fragmented, failing to simultaneously cover emerging communities, the roles of participants in different context , and the dynamics of the process. The report proposes an annotated metagraph model as a single representative structure that overcome these limitations. Using holonic metaverses, multi-complex annotations, actives agents, and metahedra, the proposed platform initially supports both structural complexity and the ability to audit management. The report present a systematic mapping of the subject varea, which transforms metagraph constructions into objects of financial and social networks. In addition, a catalog of four reusable modeling templates is presented - new communities, multi-contez participants, process and management workflows - integrated into a multilevel conceptual reference architecture. This unified approach provides a formal framework for multilevel network analytics and defines a research program for the development of scalable financial intelligence systems tailored to the structure.
keywords: metagraphs, complex networks, unified modeling, financial intelligence knowledge representation, network management, anti-money laundering
