Identifying Large Structural Balanced Cliques in Signed Graphs

Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:
Journal Article
Citation:
IEEE Transactions on Knowledge and Data Engineering, 2024, 36, (3), pp. 1145-1160
Issue Date:
2024-03
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Signed graphs have been used to capture the polarity of relationships through positive negative edge signs In this paper we consider balanced cliques a clique is balanced if its vertex set C C can be partitioned into C L CL and C R CR such that all negative edges are between C L CL and C R CR and study the problems of maximum balanced clique computation and large balanced clique enumeration Our main idea is a novel graph reduction that transforms a balanced clique problem over a signed graph G G to problems over small subgraphs of G G Specifically for each vertex u u in G G we extract the subgraph G u Gu of G G induced by V L cup V R VL VR V L VL is u u and u u s positive neighbors while V R VR is u u s negative neighbors Then we remove from G u Gu all positive edges between V L VL and V R VR and all negative edges between vertices of the same set denote the resulting graph of discarding edge signs as g u gu We show that all balanced cliques containing u u in G G can be found by processing g u gu Due to the small size and no edge signs large cliques containing u u in g u gu can be efficiently identified Experimental results on real signed graphs demonstrated the advantages of our techniques
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