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At present, digital library (DL) policy is largely informed by management intuition and coarse measures of user satisfaction. Most DLs, however, maintain extensive server logs of user retrieval requests that contain a wealth of information on user preferences and the structure of user retrieval patterns. We propose a quantitative approach to DL evaluation that analyzes the retrieval habits of users to assess the impact of a collection of documents and to determine the structure of a given DL user community. We discuss a system that we have developed to automatically generate extensive journal and document networks from an efficient and simple analysis of user retrieval sequences registered in a particular DL's server logs.

Evaluation of Digital Library Impact and User Communities by Analysis of Usage Patterns