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Table 1.

Terminologies and notations.

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Fig 1.

An example of team formation in social networks.

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Fig 2.

Common team formation attributes in social networks.

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Table 2.

Popular team formation algorithms.

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Fig 3.

The basic architecture of team formation of experts in social networks.

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Fig 4.

SSR-TF algorithm for finding the best team.

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Table 3.

Skills datasets and their properties.

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Table 4.

Parameter setting of the algorithms.

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Fig 5.

Cost performance of the algorithms on the datasets (D01-D04).

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Fig 6.

Elapsed time (in milliseconds) of the algorithms on the datasets (D01-D04).

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Fig 7.

Number of experts/team selected by the algorithms on the datasets (D01-D04).

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Table 5.

Algorithm’s performance on datasets (D01, D02, D03, D04, & d05) for skillset (05).

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Table 6.

Algorithm’s performance on datasets (D01, D02, D03, D04, & D05) for skillset (10).

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Table 7.

Algorithm’s performance on datasets (D01, D02, D03, D04, & D05) for skillset (15).

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Table 8.

Algorithm’s performance on datasets (D01, D02, D03, D04, & D05) for skillset (20).

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Table 9.

Wilcoxon rank-sum test results for SSR-TF against other algorithms (α = 0.05).

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