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Clickstream Data Yields High-Resolution Maps of Science

Figure 2

The extraction of journal clickstream data from article level log data.

Usage log data consists of sequences of timed interaction events . Interaction events issued by the same user from the same client can be grouped in user sessions. Each user session represents a clickstream that can be expressed as a sequence of the articles that were part of the session's interaction events, i.e. . Since every article is published in a journal, we can derive journal clickstreams, i.e. . From the collection of all journal clickstreams we can calculate the probability .

Figure 2

doi: https://doi.org/10.1371/journal.pone.0004803.g002