Results 11 to 20 of about 2,481,483 (231)
Ranking hubs and authorities using matrix functions [PDF]
The notions of subgraph centrality and communicability, based on the exponential of the adjacency matrix of the underlying graph, have been effectively used in the analysis of undirected networks.
Estrada, Ernesto +2 more
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Adjacency matrix of mechanosensitive subnetwork.
Peter Eipert (14026368) +5 more
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Aα-Spectral Characterizations of Some Joins
Let G be a graph with n vertices. For every real α∈0,1, write AαG for the matrix AαG=αDG+1−αAG, where AG and DG denote the adjacency matrix and the degree matrix of G, respectively.
Tingzeng Wu, Tian Zhou
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On the Aα-Eigenvalues of Signed Graphs
For α∈[0,1], let Aα(Gσ)=αD(G)+(1−α)A(Gσ), where G is a simple undirected graph, D(G) is the diagonal matrix of its vertex degrees and A(Gσ) is the adjacency matrix of the signed graph Gσ whose underlying graph is G.
Germain Pastén, Oscar Rojo, Luis Medina
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Graphs Whose Aα -Spectral Radius Does Not Exceed 2
Let A(G) and D(G) be the adjacency matrix and the degree matrix of a graph G, respectively. For any real α ∈ [0, 1], we consider Aα (G) = αD(G) + (1 − α)A(G) as a graph matrix, whose largest eigenvalue is called the Aα -spectral radius of G.
Wang Jian Feng +3 more
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Directed random geometric graphs: structural and spectral properties
In this work we analyze structural and spectral properties of a model of directed random geometric graphs: given n vertices uniformly and independently distributed on the unit square, a directed edge is set between two vertices if their distance is ...
Kevin Peralta-Martinez +1 more
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On the Aα-Spectral Radii of Cactus Graphs
Let A ( G ) be the adjacent matrix and D ( G ) the diagonal matrix of the degrees of a graph G, respectively. For 0 ≤ α ≤ 1 , the A α -matrix is the general adjacency and signless Laplacian spectral matrix having the form of
Chunxiang Wang +3 more
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Graphs with Clusters Perturbed by Regular Graphs—Aα-Spectrum and Applications
Given a graph G, its adjacency matrix A(G) and its diagonal matrix of vertex degrees D(G), consider the matrix Aα (G) = αD(G) + (1 − α)A(G), where α ∈ [0, 1).
Cardoso Domingos M. +2 more
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Vertex adjacency matrix and edge adjacency matrix of a sample graph network.
Vertex adjacency matrix and edge adjacency matrix of a sample graph network.
Ertugrul Taciroglu (17692267) +3 more
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Schema of the adjacency matrix.
The elements of the adjacency matrix are the weights of links. Each row of the adjacency matrix contains the weights of in-links for the corresponding node, and the number of nonzero entries is its in-degree. Similarly, each column carries the weights of
Ilias Rentzeperis (10215602) +2 more
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