Table 1.
Terminologies and notations.
Fig 1.
An example of team formation in social networks.
Fig 2.
Common team formation attributes in social networks.
Table 2.
Popular team formation algorithms.
Fig 3.
The basic architecture of team formation of experts in social networks.
Fig 4.
SSR-TF algorithm for finding the best team.
Table 3.
Skills datasets and their properties.
Table 4.
Parameter setting of the algorithms.
Fig 5.
Cost performance of the algorithms on the datasets (D01-D04).
Fig 6.
Elapsed time (in milliseconds) of the algorithms on the datasets (D01-D04).
Fig 7.
Number of experts/team selected by the algorithms on the datasets (D01-D04).
Table 5.
Algorithm’s performance on datasets (D01, D02, D03, D04, & d05) for skillset (05).
Table 6.
Algorithm’s performance on datasets (D01, D02, D03, D04, & D05) for skillset (10).
Table 7.
Algorithm’s performance on datasets (D01, D02, D03, D04, & D05) for skillset (15).
Table 8.
Algorithm’s performance on datasets (D01, D02, D03, D04, & D05) for skillset (20).
Table 9.
Wilcoxon rank-sum test results for SSR-TF against other algorithms (α = 0.05).