Results 11 to 20 of about 45,382 (265)
Relating graph energy with vertex-degree-based energies [PDF]
Introduction/purpose: The paper presents numerous vertex-degree-based graph invariants considered in the literature. A matrix can be associated to each of these invariants.
Ivan Gutman
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PREFERENTIAL ATTACHMENT WITH FITNESS DEPENDENT CHOICE
We study the asymptotic behavior of the maximum degree in the preferential attachment tree model with a choice based on both the degree and fitness of a vertex.
Y.A. Malyshkin
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The complexity of degree anonymization by vertex addition [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Robert Bredereck +5 more
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On topological properties of hierarchical hypercube network based on Ve and Ev degree
Grid implementation is a principal unit in electrical and electronic engineering but it depends on the domain of these projects. For example, depending on the grid and the signal processing in that fields of electronic and electrical engineering, such as
Zahra Nida, Ibrahim Muhammad
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Estimation of vertex degrees in a sampled network [PDF]
The need to produce accurate estimates of vertex degree in a large network, based on observation of a subnetwork, arises in a number of practical settings. We study a formalized version of this problem, wherein the goal is, given a randomly sampled subnetwork from a large parent network, to estimate the actual degree of the sampled nodes.
Apratim Ganguly, Eric D. Kolaczyk
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Usefulness of Combinations of Vertex-Degree Weighted Path Indices and Elements of a Universal Matrix
The mutually optimized combinations of vertex-degree weighted path indices and the vertex-degree vertex-distance weighted elements of the Universal matrix were applied in the way of TInew = ∑kN×PN(aN,bN,...) + kij×uij(aij,bij,cij).
Anton Perdih
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On Certain Types of Neutrosophic Fuzzy Graphs
In this paper, we introduce some types of NF graphs and operations. Also we define the partial NF subgraph, spanning NF subgraph, strong degree of the vertex, total strong degree of the vertex and its properties are included.
Alias B. Khalaf, Prithivirajan Padma
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Vertex arboricity and maximum degree
This paper mainly proves that if a connected graph \(G= (V,E)\) is neither a cycle nor a clique, then there is a coloring of \(V\) with at most \(\lceil {{\Delta (G)} \over 2} \rceil\) colors such that all color classes induce forests and one of them is a minimum induced forest in \(G\).
Paul A. Catlin, Hong-Jian Lai
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Cost-based analyses of random neighbor and derived sampling methods
Random neighbor sampling, or RN, is a method for sampling vertices with a mean degree greater than that of the graph. Instead of naïvely sampling a vertex from a graph and retaining it (‘random vertex’ or RV), a neighbor of the vertex is selected instead.
Yitzchak Novick, Amotz Bar-Noy
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Random Graphs' Robustness in Random Environment
We consider configuration graphs the vertex degrees of which are independent and follow the power-law distribution. Random graphs dynamics takes place in a random environment with the parameter of vertex degree distribution following uniform ...
Marina Leri, Yury Pavlov
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