Crowd Sensing System for Public Participation

Abstract

We propose a crowd sensing system to capture certain dynamics of public participation in a city. Crowd sensing systems (CSS) attempt to capture the opinions of local publics from webresources. We define our CSS using a spatially-situated social network graph where users along with different variables, such as time, location, social interaction, service usage, and human activities can be studied and used to identify experts or influential citizens who are relevant to municipal affairs.