Mathematical Informatics of Social Complex Systems
Laboratory for Mathematical Informatics of Social Complex Systems
Language , Communication, and Financial Markets
(Research Center for Advanced Science and Technology) 
Webpage of Lab→ 



We explore the universal properties underlying largescale social
systems through mathematical models derived by computing with big data
obtained from largescale resources. Using these models, we explore
new ways of engineering to aid human social activities.
 1. Analysis of largescale social systems by applying complex systems theory
 Common scaling properties are known to hold across various largescale social systems. Using real, largescale data, we study the nature of these properties, from viewpoints such as complexity, degree of fluctuation, and selfsimilarity, and construct a mathematical model that explains them.
 2. Deep/Machine learning methods for complex systems
 We discuss the potential and limitations of deep learning and other machine learning techniques with respect to the nature of complex systems, and we study directions for improvement. Moreover, we explore unsupervised and semisupervised methods for stateoftheart learning techniques.
 3. Mathematical informatics across language, financial markets, and communication
 We explore common universal properties underlying language, finance, and communication, through computing with various kinds of largescale data, and we apply our understanding of those properties to engineering across domains. For example, we study financial market analysis by using blogs and other information sources, and we simulate information spread on a largescale communication network.
