SOCIAL NETWORK ANALYSIS : Classifying Citizen Engagement in Smart-City with Graph-Based Machine Learning.

In my last research I built a computer simulation of the formation of public opinion from a survey study on citizen engagement in Taipei (Taiwan), Tel Aviv (Israel) and Tallinn (Estonia). “AGENT-BASED MODEL : Computer Simulation of Citizen Engagement and the Formation of Public Opinion.” concludes that the distribution of opinion in a population is very sensitive to the presence of highly engaged citizens benefiting from an experience in political engagement and a social reward such as the social status.

In order to refine my Citizen Engagement model, I have been tempted to conduct a Social Network Analysis on my three case studies. Indeed, the structure and the dynamics of individual social networks are related to individual behaviours in citizen engagement. Furthermore, additional benefits can be found by experimenting the relationship between network attributes and individual properties such as a citizen category.

To do so, I will analyse the social networks among the cities of my research Taipei (Taiwan), Tel Aviv (Israel) and Tallinn (Estonia), and include one representative of each following stakeholder category: public sector, corporate company, startup, academic sector, civil society and media industry (see Fig.1). In this way, I will collect more information about the complex systems of citizen interactions in Smart-cities, and integrate this data in a more advanced ABM. The following social network…