|Research Fields||network science, mathematical modelling|
|Academic Society Membership||Japanese Physical Society|
Epidemic diseases, opinions, information, neural spike signals, cascades of bankruptcy share a similar mechanism. In all cases, an event induces future events. This group of phenomena is called spreading processes. They can be analysed using a similar model.
Recently, more and more data of human and economic activities becomes available. Especially, data having network structure can be analysed using spreading processes. It can give us predictions and intervention strategies. However, for the purpose, we need to advance a theory to analyse data.
In my research, I focus on data with a network structure, and advance a theory to analyse data. Specifically, I make predictions of epidemic spreading using human mobility data, and intervention strategies to reduce a risk of shock cascades on financial networks using a mathematical modelling approach.