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Optimizing energy efficiency in wireless sensor networks through advanced cluster-based routing protocols. [PDF]
Sci RepMohamed FA +4 more
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Evolutionary community discovery in dynamic social networks via resistance distance [PDF]
Expert Systems With Applications, 2021 Traditional social community discovery methods concentrate mainly on static social networks, but the analysis of dynamic networks is a prerequisite for real-time and personalized social services.
Hong-Ning Dai, Hao Wang, Weimin Li
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The structure of distances in networks
Networks, 1986AbstractPart of this work is concerned with determining those graphs that produce extreme rays of the cone of shortest distance matrices of undirected linear n‐vertex graphs without loops. For n ≤ 4, for example, all extreme rays come from a certain class of “elementary” graphs, but for n ≥ 5 there are nonelementary extreme rays, and these are studied ...
Eric Howe +2 more
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Partial embedding distance for networks
2017 51st Asilomar Conference on Signals, Systems, and Computers, 2017This paper presents methods to compare networks where relationships between pairs of nodes in a given network are defined. We define such network distance by searching for the optimal method to embed one network into another network, and prove that such distance is a valid metric in the space of networks modulo permutation isomorphisms.
Weiyu Huang, Alejandro Ribeiro
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Resistance Distance in Potting Networks
Physica A: Statistical Mechanics and its Applications, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fan, Jiaqi +3 more
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Biological Network Edit Distance
Journal of Computational Biology, 2016Interactions among biological entities contain more information than purely the similarities between the entities. For example, interactions between genes, and gene products, can be more informative than the sequence similarities of the genes involved.
Martin McGrane, Michael A. Charleston
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2013
A network is a graph, directed or undirected, with a positive number (weight) assigned to each of its arcs or edges. Real-world complex networks usually have a gigantic number N of vertices and are sparse, i.e., with relatively few edges.
Michel Marie Deza, Elena Deza
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A network is a graph, directed or undirected, with a positive number (weight) assigned to each of its arcs or edges. Real-world complex networks usually have a gigantic number N of vertices and are sparse, i.e., with relatively few edges.
Michel Marie Deza, Elena Deza
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Evaluation of network distances properties by NDS, the Network Distance Service
2006 3rd International Conference on Broadband Communications, Networks and Systems, 2006This article presents a novel method for evaluating the properties of distances between hosts in a computational grid. Our method allows obtaining several indicators about a given network. We demonstrate why the current monitoring tools are not sufficient in grid environments that lack high level tools taking into account particular constraints for ...
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AVERAGE DISTANCE OF SUBSTITUTION NETWORKS
Fractals, 2019The substitution network is a deterministic model of evolving self-similar networks. For normalized substitution networks, the limit of metric spaces with respect to networks is a self-similar fractal and the limit of average distances on networks is the integral of geodesic distance of the fractal on the self-similar measure.
QIANQIAN YE, LIFENG XI
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