Using community detection to support decision making process

Abstract

In order to make right decision within organizations, individuals and teams need to be supported during decision making (DM) process. The aim in this paper is to support DM by finding out the right people that can be involved to make right decision in more effective and efficient way. In this paper, we explain how it is interesting to use community detection techniques to support DM process. The community can be detected in three phases: the problem formulation and/or the solutions generation and the decision making. To detect community, we propose a simple thresholding algorithm based on Structural/Attribute clustering.