Patterns of information – clustering books and readers in open access libraries

A possible solution can be found in analysing the preferences of groups or communities. In other words, to explore the possibility to uncover sets of documents with a meaningful connection for groups of readers.

The solution depends on examining patterns of usage, instead of storing information about readers. This paper will investigate the possibility to uncover the preferences of user groups within an open access digital library using social networking analysis techniques Date: 2012 Date: 2014 The depositor of the data provided data in the xls format, DANS converted this into csv and pdf for durability reasons and placed the converted files in the folder 'Csv and pdf conversions'.