Understanding patterns of closeness and collaboration between authors in contemporary bibliometric research is important for shaping the intellectual structure of the scientific field. Traditional methods such as co-authorship networks provide valuable insights but there are limitations. In this article, we examine a method for constructing author closeness networks, enhancing the approach based on bibliometric coupling networks. We explore a metric that measures the closeness of two authors based on the number of authors cited by both authors. We construct traditional co-authoring networks and networks based on the closeness criteria. We examine differences in network structure based on their giant components, and also conduct an analysis of their maximal cliques and dense communities. The results show that these two approaches complement each other, allowing us to identify both the features of author interactions and the structure of authors engaged in related research.