An important issue in event cognition concerns how activities come to mind when people think about events (eat at a restaurant). Linear theories suggest that people think of activities in a temporally linear order, whereas hierarchical theories suggest that activities come to mind based on their centrality (i.e., importance). The current study used five network science centrality measures (CheiRank, PageRank, 2D Rank, Betweenness, and Closeness) derived from 80 temporally structured event networks to predict participants’ centrality and standardness rankings and ratings. Participants were provided with 40 events and 4-10 activities per event, and ranked or rated each activity’s centrality or standardness. Linear mixed-effect regression showed that CheiRank, which assigns importance to activities that have many influential outgoing links, was the strongest predictor. This suggests that people’s understanding of centrality relates to the degree to which an activity leads to other activities, supporting hierarchical models and the Event Horizon Model.