Link Prediction in Scientists Collaboration with Author Name and Affiliation

Link prediction task is to discover the indirect relationships from the network based on present information. We studied scientists/authors network and added affiliation information into the author's network in order to enhance the performance of link prediction. In this study, for ranking the collaborations/edges, we have used edge based scoring algorithms rather than node based scoring algorithms and used bipartite graph data structure for finding active authors. We have introduced a feature named Author's Diversity/Similarity score that describes the probability of an author to write with the same or different affiliation. The performance of our proposed algorithm has increased significantly comparing with the existing system.

[1]  Zan Huang,et al.  The Time-Series Link Prediction Problem with Applications in Communication Surveillance , 2009, INFORMS J. Comput..

[2]  David Liben-Nowell,et al.  The link-prediction problem for social networks , 2007 .

[3]  O. de Weck,et al.  Overview of metrics and their correlation patterns for multiple-metric topology analysis on heterogeneous graph ensembles. , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[4]  Leonard M. Freeman,et al.  A set of measures of centrality based upon betweenness , 1977 .

[5]  Ke Xu,et al.  Link prediction in complex networks: a clustering perspective , 2011, The European Physical Journal B.

[6]  Masao Nagasaki,et al.  BFL: a node and edge betweenness based fast layout algorithm for large scale networks , 2009, BMC Bioinformatics.

[7]  Céline Rouveirol,et al.  Supervised Machine Learning Applied to Link Prediction in Bipartite Social Networks , 2010, 2010 International Conference on Advances in Social Networks Analysis and Mining.

[8]  Mark Newman,et al.  Networks: An Introduction , 2010 .

[9]  Sahin Albayrak,et al.  The Link Prediction Problem in Bipartite Networks , 2010, IPMU.

[10]  Nitesh V. Chawla,et al.  Multi-relational Link Prediction in Heterogeneous Information Networks , 2011, 2011 International Conference on Advances in Social Networks Analysis and Mining.

[11]  Umit Topaloglu,et al.  Social network analysis of biomedical research collaboration networks in a CTSA institution , 2014, J. Biomed. Informatics.

[12]  Edward M. Reingold,et al.  Graph drawing by force‐directed placement , 1991, Softw. Pract. Exp..

[13]  Raphael Yuster,et al.  Fast sparse matrix multiplication , 2004, TALG.