AbstractTwo vertices u and v in a graph G are said to be removal-similar if G\u ≅ G\v. Vertices which are removal-similar but not similar are said to be pseudosimilar. A characterization theorem is presented for trees (later extended to forests and block graphs) with pseudosimilar vertices. It follows from this characterization that it is not possible to have three or more mutually pseudosimilar vertices in trees. Furthermore, removal-similarity combined with an extension of removal-similarity to include the removal of first neighbourhoods of vertices is sufficient to imply similarity in trees. Neither of these results holds, in general, if we replace trees by arbitrary graphs
The problem of measuring similarity of graphs and their nodes is important in a range of practical p...
Abstract. The number of spanning trees of a graph, also known as the complexity, is investigated for...
We show that a number of graph invariants are, even combined, insufficient to distinguish between no...
AbstractTwo vertices u and v in a graph G are said to be removal-similar if G\u ≅ G\v. Vertices whic...
AbstractPerhaps the most interesting current problems in pseudosimilarity involve questions about gr...
AbstractVertices u and v of a graph X are pseudo-similar if X − u ≅ X − v but no automorphism of X m...
AbstractVertices u and v in the graph G are said to be pseudo-similar if G − u ≅ G − v but no automo...
We show that a number of graph invariants are, even combined, insufficient to distinguish between no...
In this paper, a survey of similarity measures between vertices of a graph is presented. Distance-ba...
We show that a number of graph invariants are, even combined, insufficient to distinguish between noni...
AbstractTwo square matrices A and B over a ring are pseudosimilar if there exist X, Y, and Z satisfy...
AbstractAn asymmetrizing set of a tree T is a set A of vertices of T such that the identity is the o...
AbstractA connected graph G is called a pseudo-tree if its vertex-set V(G) admits a partition π into...
Similarity is a well known weakening of bisimilarity where one system is required to simulate the ot...
We consider methods for quantifying the similarity of vertices in networks. We propose a measure of ...
The problem of measuring similarity of graphs and their nodes is important in a range of practical p...
Abstract. The number of spanning trees of a graph, also known as the complexity, is investigated for...
We show that a number of graph invariants are, even combined, insufficient to distinguish between no...
AbstractTwo vertices u and v in a graph G are said to be removal-similar if G\u ≅ G\v. Vertices whic...
AbstractPerhaps the most interesting current problems in pseudosimilarity involve questions about gr...
AbstractVertices u and v of a graph X are pseudo-similar if X − u ≅ X − v but no automorphism of X m...
AbstractVertices u and v in the graph G are said to be pseudo-similar if G − u ≅ G − v but no automo...
We show that a number of graph invariants are, even combined, insufficient to distinguish between no...
In this paper, a survey of similarity measures between vertices of a graph is presented. Distance-ba...
We show that a number of graph invariants are, even combined, insufficient to distinguish between noni...
AbstractTwo square matrices A and B over a ring are pseudosimilar if there exist X, Y, and Z satisfy...
AbstractAn asymmetrizing set of a tree T is a set A of vertices of T such that the identity is the o...
AbstractA connected graph G is called a pseudo-tree if its vertex-set V(G) admits a partition π into...
Similarity is a well known weakening of bisimilarity where one system is required to simulate the ot...
We consider methods for quantifying the similarity of vertices in networks. We propose a measure of ...
The problem of measuring similarity of graphs and their nodes is important in a range of practical p...
Abstract. The number of spanning trees of a graph, also known as the complexity, is investigated for...
We show that a number of graph invariants are, even combined, insufficient to distinguish between no...