Improving the Quality of the Community Relations Knowledge Using Implicit Connections

This paper presents a research that looks for discovering implicit community-based relations by identifying connection degrees and shared patterns between individuals. It introduces the Newsletter Tracking System (NTS) that gathers individuals' implicit information and supports a Connection Degree Model (CDM) that identifies the grain of connection between individuals. Also, based on that, it can foster the quality of community relations. Still, this paper describes the Nano-Tera.ch case study where this research was developed and evaluated with.