In this paper, we relate the problem of finding a maximum clique to the intersection number of the input graph (i.e. the minimum number of cliques needed to edge cover the graph). In particular, we consider the maximum clique problem for graphs with small intersection number and random intersection graphs (a model in which each one of m labels is chosen independently with probability p by each ...

In social network analysis, a k-clique is a relaxed clique, i.e., a kclique is a quasi-complete sub-graph. A k-clique in a graph is a sub-graph where the distance between any two vertices is no greater than k. The visualization of a small number of vertices can be easily performed in a graph. However, when the number of vertices and edges increases the visualization becomes incomprehensible. In...

This paper presents a parallel algorithm to solve the Clique Partitioning Problem, an NP-complete problem. Given a graph G = (V, E) , a clique is a complete subgraph in G. The clique partitioning problem is to partition the vertices in G into a number of cliques such that each vertex appears in one and only one clique. The clique partitioning problem has important applications in many areas inc...

A graph is clique-perfect if the cardinality of a maximum clique-independent set equals the cardinality of a minimum clique-transversal, for all its induced subgraphs. A graph G is coordinated if the chromatic number of the clique graph of H equals the maximum number of cliques of H with a common vertex, for every induced subgraph H of G. Coordinated graphs are a subclass of perfect graphs. The...

The clique vector c(G) of a graph G is the sequence (c1, c2, . . . , cd) in N, where ci is the number of cliques in G with i vertices and d is the largest cardinality of a clique in G. In this note, we use tools from commutative algebra to characterize all possible clique vectors of k-connected chordal graphs.

This paper improves an infra-chromatic bound which is used by the exact branch-andbound maximum clique solver BBMCX (San Segundo et al., 2015) as an upper bound on the clique number for every subproblem. The infra-chromatic bound looks for triplets of colour subsets which cannot contain a 3-clique. As a result, it is tighter than the bound obtained by widely used approximate-colouring algorithm...

In this paper we obtain some upper bounds for b-chromatic number of K1,t -free graphs, graphs with given minimum clique partition and bipartite graphs. These bounds are in terms of either clique number or chromatic number of graphs or biclique number for bipartite graphs. We show that all the bounds are tight. AMS Classification: 05C15.