Computer Science – Digital Libraries
Scientific paper
2011-06-13
Computer Science
Digital Libraries
Accepted for JCDL 2011. Groundtruth data set attached and described in README file
Scientific paper
We investigate how author name homonymy distorts clustered large-scale co-author networks, and present a simple, effective, scalable and generalizable algorithm to ameliorate such distortions. We evaluate the performance of the algorithm to improve the resolution of mesoscopic network structures. To this end, we establish the ground truth for a sample of author names that is statistically representative of different types of nodes in the co-author network, distinguished by their role for the connectivity of the network. We finally observe that this distinction of node roles based on the mesoscopic structure of the network, in combination with a quantification of author name commonality, suggests a new approach to assess network distortion by homonymy and to analyze the reduction of distortion in the network after disambiguation, without requiring ground truth sampling.
Haque Asif-ul
Lagoze Carl
Velden Theresa
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