Figure 3
The network displays multiple clusters of nodes, each represented by circles with labels and connected by thin lines indicating relationships, with labels placed adjacent to the nodes. At the center of the network, a large purple node labeled “h r analytics”, forms the focal point and is directly connected to surrounding nodes including “human resource management”, “talent analytics”, “data analytics”, “data science”, “employee engagement”, “talent management”, “big data”, and “human capital analytics”. Above and slightly to the left of the center, a cluster of blue nodes surrounds a medium-sized node labeled “human resource analytics”. This cluster includes nodes labeled “artificial intelligence”, “h r analytic”, and several unlabeled smaller blue nodes linked to one another by thin blue lines. Below and to the left, a green cluster radiates from nodes labeled “data analytics”, “big data”, “talent analytics”, “data science”, and “talent management”, with many small green nodes interlinked, forming a dense web of connections extending toward the lower-left side of the network. Toward the upper right, a yellow cluster centers around the node labeled “human capital”, with additional nodes labeled “article”, “human”, “strategic h r”, and “human experiment”. These nodes are connected by thin yellow lines, and the cluster extends into several smaller yellow nodes. To the upper middle-right area, a red cluster is anchored by the node labeled “human resource management”. This cluster includes red nodes labeled “strategic h r m”, “algorithm”, and “decision making”, as well as several smaller unlabeled red nodes connected by thin red lines. This cluster forms a dense grouping extending outward from “human resource management”. At the lower center, a small purple cluster connects the main node “h r analytics” to the node “employee engagement”, with additional light-purple connections leading downward to the node labeled “change management”.Keyword co-occurrence analysis. Source: Created by authors