Abstract
Understanding the dynamics of users’ core features set usage is a necessary condition for increasing the productivity of workers’ performance. Drawing on the method of bi-partite network and the “Pareto's Law” principle, all users were divided into senior managers, functional managers and operational-level employees based on the hierarchical level, a user-feature bipartite network model was brought forwarded and an empirical analysis was conducted by using the log data of a shipyard company with 763440 computer logs to study the dynamics of users’ core features set usage, including analyzing the difference of core features set usage in different hierarchical levels and understanding the dynamics of core features set usage in each hierarchical level. The results indicate that (1) users in different hierarchical levels use different core features sets; (2) the dynamics of core features set usage in each hierarchical level tend to be stable over time.
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