Embedded Files
Overview
Overview
On the oppotunity of visit of Prof. Kimmo Kaski (Aalto University, Finland), we organize the following workshop on computational social science.
(Kimmo Kaski 先生を交えた計算社会科学のワークショップを開催します。）
Date&Hours: 2023-10-04 (Wed.) 13:00-16:00
Room: 5F-meeting room (room-5-08), 5th floor, CSIT-Bldg., Hokkaido Univ.
(情報科学研究院 5F 中会議室)
Program
Program
13:00--13:10 : Introduction
13:10--14:10 : Talk of Prof. Kimmo Kaski
"Social Physics: Data-Driven Studies of Social Networks"
14:10--14:30 : (break)
14:30--15:00 : Talk of Prof. Itsuki Noda
"Multiagent Social Simulation"
15:30--16:00 : (TBA)
Talk of Prof. Kimmo Kaski
Talk of Prof. Kimmo Kaski
Social Physics: Data-Driven Studies of Social Networks
Social Physics: Data-Driven Studies of Social Networks
Kimmo KASKI
Aalto University School of Science, Espoo, Finland
Wolfson College, University of Oxford, Oxford, UK
The Alan Turing Institute, London, UK
Complexity Science Hub, Vienna, Austria
Center for Computational Social Science, Kobe University, Kobe, Japan
Abstract
Social Physics of today focuses on studying large-scale socially and societally relevant datasets using Network Theory based data analysis and computational modelling, to get unprecedented insight into social network structures and processes therein. This has been demonstrated e.g., by our analysis of a mobile phone dataset, where we find the social network having modular structure of communities with stronger internal but weaker external ties. As the data includes the phone users’ demographics, i.e., gender and age, we have been able to investigate the nature of social interactions from the egocentric viewpoint and get a deeper insight into the gender and age-related social behavior patterns and dynamics of human relationships, across their lifespan. Fusing open data from country statistics and geophysical records with the mobile phone data, we have also got insight into the daily and seasonal activity patterns of individuals and the society.
Keywords: Social Networks, Social Physics, Large-scale Data Analytics, Computational Modelling
Page updated
Report abuse