Cultural Algorithms for Social Network Analysis

Social Network Analysis (SNA) is applied to improve the effectiveness and efficiency of decision‐making processes and deals with different issues. This chapter discusses the Team Formation Problem (TFP) in SNA. It also discusses the computational models which the authors designed and their future directions for TFP. In addition to that, the chapter elaborates the primary differences of the authors' models with other existing models, the domain of research, and chosen approach to solve the problem. It deploys knowledge‐based evolutionary optimization algorithms called Cultural Algorithms (CA) to discover successful teams. To discuss the benefit of evaluating the communication cost in TFP, the chapter considers an example of experts’ network. The complexity of health system's frameworks pose fundamentally the same difficulties for the investigation to the ones produced by social networks. With the observation from different setups in coauthorship dataset and palliative care dataset, CA performed well to discover efficient teams when compared with other algorithms.