Report topic: Prediction and Prevention of Disproportionally Influential Agents in Complex Networks
Report Place: Meeting Room 326, Main Building, School of Management and Economics
Report time: April 07,2021 (Wednesday), 15:30-17:00 PM
Reporter: Assistant Professor Sandro LeraHost: Professor Cui Lirong
On the afternoon of April 07,2021, Assistant Professor Sandro Lera of Southern University of Science and Technology was invited to visit the School of Management and Economics of Beijing Institute of Technology and make an academic report entitled "Prediction and Prevention of Disproportionally Influential Agents in Complex Networks".Nearly 15 teachers and students from the School of Management and Economics attended the report, which was chaired by Professor Cui Lirong of the School of Management and Economics.
In the report, Assistant Professor Sandro Lera shared new methods developed for dynamic risk control in complex networks, and the results were published in the Proceedings of the American Academy of Sciences (PNAS).He first described the framework proposed in the study, which is mainly used to judge whether a company is too large, and respond to when regulators intervene and how to intervene, which is mainly based on the complex network theory of different subjects (such as companies in economies), which enables the framework to be widely used in biophysical systems, socio-economic systems and other fields.He then introduce the distance of the system to its centralized state and the concept of "winner-take-all (WTA)" and how to construct an optimal low-cost intervention to push the system back to stability when the system arrives in such a state.Finally, the effectiveness of this result is clarified by combining theory with big data based on the social trading platform eToro,.This result is important for coordinating the entire economy and to anti-monopoly policies, tax law, government subsidies and other aspects of the regulatory enforcement is of important significance.
After the report, Assistant Professor Sandro Lera had a heated discussion and exchange with the teachers and students. The response received unanimous praise from the teachers and students.
Speaker profile:
Dr. Sandro Lera, Assistant Professor at Risks X, AAIS and Division of Information Systems Management Engineering of SUSTech ,visiting scholar at the Massachusetts Institute of Technology (MIT). He received his PhD from ETH Zurich under supervision of Prof Didier Sornette.Previously served as a postdoctoral fellow at the MIT Media Laboratory (MIT Media Lab).The research direction are complex systems, network science, quantitative finance, etc. His work is focused on the prediction of extreme events in socio-economic systems with tools from statistical physics and machine learning.In addition, Sandro Lera has an industry background in algorithmic trading and develops quantitative trading strategies for a number of internationally known companies
