Community detection is one of the most important tools in understanding network topology. Even though its methods are initially developed for static networks, the extension to the dynamic case has been widely utilized to analyze the dynamic networks as its prevalence in numerous applications. However, current researches on undirected and unweighted multilayer networks may fail to model the real world cases, as the directed and weighted networks are pervasive both in nature and engineered systems. The Global Trading Networks, as an example of directed and weighted dynamic networks, could reflect the international trading relationships to some extent. In the research, we use the Tucker decomposition method on a 3-way or 4-way tensor, constructed from the Global Trading datasets. We then use K-means and Normalized K-means for clustering. The detected clusters could reveal the export and import trading relationship among countries, which cannot be observed directly from the original data.
5月18日
4:00pm - 5:00pm
地点
http://hkust.zoom.us/j/445635443
讲者/表演者
Ms. Ya WANG
HKUST
HKUST
主办单位
Department of Mathematics
联系方法
mathseminar@ust.hk
付款详情
对象
Alumni, Faculty and Staff, PG Students, UG Students
语言
英语
其他活动
11月22日
研讨会, 演讲, 讲座
IAS / School of Science Joint Lecture - Leveraging Protein Dynamics Memory with Machine Learning to Advance Drug Design: From Antibiotics to Targeted Protein Degradation
Abstract
Protein dynamics are fundamental to protein function and encode complex biomolecular mechanisms. Although Markov state models have made it possible to capture long-timescale protein co...
11月8日
研讨会, 演讲, 讲座
IAS / School of Science Joint Lecture - Some Theorems in the Representation Theory of Classical Lie Groups
Abstract
After introducing some basic notions in the representation theory of classical Lie groups, the speaker will explain three results in this theory: the multiplicity one theorem for classical...