Research Article
Consumers Team Detection Model Based on Trust for Multi-Level
Algorithm 1
Trust-based algorithm for multilevel local community detection.
| Input: Multilayer graph | | | | Output: Local community C for | 1: | | 2: | | 3: | while node | 4: | ; // Utilize formula (9) to obtain the seed node | 5: | ; | 6: | for node do | 7: | if then // Utilize formulas (5) and (8) to determine whether it is intralayer or interlayer expansion | 8: | if then // Utilize formulas (3) and (4) to determine the intralayer nodes to be detected | 9: | // Combine the nodes to be detected to the local community C | 10: | else // Remove the nodes to be detected to set S | 11: | end if | 12: | else // Otherwise, it is interlayer expansion | 13: | if // Utilize formulas (6) and (7) to determine the interlayer nodes to be detected | 14: | // Combine the nodes to be detected to the local community C | 15: | else // Remove the nodes to be detected to set S | 16: | end if | 17: | end if | 18: | | 19: | : End for | 20: | ; | 21: | end while | 22: | retrun C | 23: | end |
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