Computing Maximum Structural Balanced Cliques in Signed Graphs
Kai Yao, Lijun Chang, Lu Qin
Abstract
Signed graphs have been used to capture the polarity of relationships between entities through positive and negative edge signs, indicating friendly and antagonistic relationships, respectively. In this paper, we focus on (structural) balanced cliques in signed graphs, where a clique, denoted by its vertex set, is (structural) balanced if it can be uniquely partitioned into two setsandsuch that all negative edges in the clique are betweenand. We study the maximum balanced clique problem that aims to find the balanced cliquesuch thatfor a user-given thresholdandis the largest possible. We propose a novel graph reduction technique by transforming the maximum balanced clique problem over a signed graphto a series of maximum dichromatic clique problems over small subgraphs of. That is, for a vertexin, we first extract the subgraphofinduced by vertex set, whereis the union ofand its positive neighbors andis's negative neighbors. Then, we remove fromall negative edges between vertices of the same set (i.e.,or) as well as remove all positive edges between VLand; denote the resulting graph of discarding edge signs as. We show that the maximum balanced clique containinginis the same as the maximum dichromatic clique (i.e., it has at leastvertices from each ofand) containingin. Due to the small size and no edge signs in, the maximum dichromatic clique containingincan be efficiently computed by exploiting the existing pruning and bounding techniques that are designed for the classic maximum clique problem on unsigned graphs. Furthermore, we extend our techniques to the polarization factor problem which aims to find the largestsuch that there is a balanced cliquewith, and to the generalized maximum balanced clique problem that reports a maximum balanced clique for each. Experimental studies on large real signed graphs demonstrated the efficiency and effectiveness of our techniques.
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