UWO Cognitive Science Lab

To characterize how people might think about activity centrality, we used multiple measures of network centrality to predict participants’ rankings of centrality on five measures. We found that CheiRank, which assigns importance to activities that lead to many other important activities, was the strongest predictor of participants’ centrality rankings for all five centrality measures. We also found that Closeness centrality, which assigns importance to activities that are on many short paths throughout the event network, was also a consistent and significant predictor for all five measures. These results suggest that people consider activities to be central when other important activities depend on them.