Research Article
Network Embedding-Based Approach for Detecting Collusive Spamming Groups on E-Commerce Platforms
Algorithm 3
Obtaining the collusive spamming groups.
Input: CSG: the candidate spamming groups | Output: TKG: the top-k groups with high spamming scores | (1) | for each group i = 1 to do | (2) | for each indicator j = 1 to 5 do | (3) | calculate the j-th indicator value of the i-th group | (4) | end for | (5) | end for | (6) | calculate the entropy weights of five indicators using equations (7)–(10) | (7) | for each group i = 1 to do | (8) | | (9) | for each indicator j = 1 to 5 do | (10) | | (11) | end for | (12) | end for | (13) | | (14) | return TKG |
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