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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)