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Table 5 Set of networks used for experimental evaluation

From: Feature-enriched author ranking in incomplete networks

Network Conferences # AA Nodes Edges
    \({|\mathcal {I}|}\) \(|\mathcal {O}|\) \(|\mathcal {E}_{\mathcal {I}}|\) \(|\mathcal {E}_{\mathcal {O}}|\)
CM AAAI, IJCAI, ICML, ACL, ICCV, CVPR 380 35.6k 224.9k 4.6M 4.9M
TC FOCS, SODA, STOC 440 5.0k 82.4k 0.5M 0.8M
NET INFOCOM, NSDI, SIGCOMM, MOBICOM, SIGMETRICS 95 15.2k 138.8k 2.1M 3.7M
IS KDD, CIKM, PODS, SIGMOD, VLDB, WWW, SIGIR 752 282.7k 190.9k 4.0M 5.1M
SE PLDI, FSE, ICSE, OSDI, SOSP 349 10.8k 99.9k 1.0M 2.1M
  1. Data was taken from (Tang et al. 2017; 2008). The full DBLP dataset contains over 3M publications from 1936 to 2018. Each network contains publications from only a set of conferences, e.g., networks TC contains publications from FOCS, SODA and STOC. For each network we show the number of: awarded authors (AA), insider and outsider nodes (\(|\mathcal {I}|\) and \(|\mathcal {O}|\) respectively), and insider and outsider edges (\(|\mathcal {E}_{\mathcal {I}}|\) and \(|\mathcal {E}_{\mathcal {O}}|\) respectively)