This is the poster for the work “Exploiting Network Analysis to Investigate Topic Dynamics in the Digital Library Evaluation Domain”, which was co-authored with Leonidas Papachristopoulos, Nikos Kleidis, Michalis Sfakakis and Christos Papatheodorou. This poster was accepted at the 16th ACM/IEEE-CS Joint Conference on Digital Libraries “Big Libraries, Big Data, Big Innovation”, Rutgers University, Newark, NJ, USA, from 19 to 23 June 2016. The text for this poster can be found at the ACM Digital Library at http://dx.doi.org/10.1145/2910896.2925464.\r\n
The multidimensional nature of digital libraries evaluation domain and the amount of scientific production published on the field hinders and disorientates the interested researchers who contemplate to focus on the specific domain. These communities need guidance in order to exploit the considerable amount of data and the diversity of methods effectively as well as to identify new research goals and develop their plans for future works. This poster investigates the core topics of the digital library evaluation field and their impact by applying topic modeling and network analysis on a corpus of the JCDL, ECDL/TPDL and ICADL conferences proceedings in the period 2001-2013.