Time: 9:00-11:00 am, April 4, 2023

Venue: Conference Room 317, Main Building, Zhongguancun Campus, Beijing Institute of Technology

Speaker: Dr. Jiamou Liu Senior Lecturer, University of Auckland, New Zealand

About the speaker:

Dr. Jiamou Liu is currently a senior lecturer at the University of Auckland, New Zealand. Dr. Liu received his PhD from the University of Auckland and later worked as a research assistant at the University of Leipzig in Germany and Universite Paris-Didro in Paris. He was a senior lecturer at Auckland University of Technology. Dr. Liu's research interests include multi-agent systems, social network analysis, and natural language processing. Specifically, it focuses on modeling and analyzing social interactions and social connections between agents in large-scale multi-agent systems. He has published more than 120 peer-reviewed research papers, some of which have been published in prestigious journals and conferences such as AAAI, IJCAI, AAMAS, NEURIPS, ICML, etc. He is a PI of the Royal Society Marsden Fund.

Brief introduction of the report:

This talk discusses the algorithmic process of creating relationships in social networks. We think of a social network as a graph structure where nodes represent the participants of the social network and edges represent connections that allow direct interaction between two participants. Making connections is very important to social networking in different ways. From the perspective of individual participants, making connections enables individuals to gain centrality and thus a more favorable position in the social network. From a group perspective, making connections enhances interactions and resolves differences, thus facilitating the emergence of "global norms" - unified actions among agents. From the perspective of the network as a whole, making connections fills so-called "structural holes" and dissolves the fabric of the community. In this talk, we will present a series of recent work describing these three perspectives mathematically and discuss the corresponding algorithmic problems.

(Organized by: National Economic Mobilization Education and Training Center, Scientific Research and Academic Exchange Center)