Investigating Social Network Analysis (SNA) for recommendation systems in science research discovery

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A frequent challenge for science researchers and scholars is to keep up to date with relevant new research. This task can be challenging due to the disparate sources of literature and the relative lack of powerful tools to support context-specific and relevant methods for exploring academic literature. As time goes by, digital libraries continue to expand due to new literature being written, thus continually enlarging the pool of literature to explore. Although improving the accessibility of literature should benefit researchers, it puts pressure on literature exploration systems to support larger data sets, thus making exploration of digital libraries a more challenging process in need of novel tools, techniques and infrastructure.