大阪大学　数理・データ科学教育研究センター
Center for Mathematical Modeling and Data Science,Osaka University

Social Physics: Mobile Data Analysis and Computational Modelling of Human Social Connectome

Kimmo Kaski (Aalto University, Finland)

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4. Social Physics: Mobile Data Analysis and Computational Modelling of Human Social Connectome

大阪大学 数理・データ科学セミナー 数理モデルセミナーシリーズ 第29回

Social Physics: Mobile Data Analysis and Computational Modelling of Human Social Connectome

Kimmo Kaski (Aalto University, Finland)

In recent years the modern Social Physics has focused on studying large-scale socially relevant datasets using data analysis and computational modelling and yielded unprecedented insight into human social network structures and processes therein. This is well-demonstrated by our analysis of a large mobile phone dataset finding the social networks having modular structure of communities with strong internal ties and weaker external ties. As this data includes the phone users’ demographics, i.e. gender and age, we have investigated the nature of human social interactions from the egocentric viewpoint and got a deeper insight into the gender and age-related social behaviour patterns and dynamics of human relationships, across their lifespan.