Results 31 to 40 of about 35,359 (261)
Adjasankey: Visualization of Huge Hierarchical Weighted and Directed Graphs [PDF]
2015 19th International Conference on Information Visualisation, 2015 Visualization of hierarchical weighted and directed graphs are usually done with node-link or adjacency matrix diagrams. However, these representations suffer from various drawbacks: low readability in a context of Big Data, high number of edge crossings, difficulty to efficiently represent the weighting.
Sansen, Joris +3 more
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On The Determinant of q-Distance Matrix of a Graph
Discussiones Mathematicae Graph Theory, 2014 In this note, we show how the determinant of the q-distance matrix Dq(T) of a weighted directed graph G can be expressed in terms of the corresponding determinants for the blocks of G, and thus generalize the results obtained by Graham et al.
Li Hong-Hai, Su Li, Zhang Jing
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Fractal and Fractional, 2023 In this article, a resilient consensus analysis of fractional-order nonlinear leader and follower systems with input and distributed delays is assumed. To make controller design more practical, it is considered that the controller is not implemented as ...
Asad Khan +4 more
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Algorithms for finding the minimum cycle mean in the weighted directed graph [PDF]
Computer Science Journal of Moldova, 1998 In this paper we study the problem of finding the minimum cycle mean in the weighted directed graph. The computational aspect of some algorithms for solving this problem is discussed and two algorithms for minimum cycle mean finding in the weighted ...
D. Lozovanu, C. Petic
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Large-scale DCMs for resting-state fMRI [PDF]
Network Neuroscience, 2017 This paper considers the identification of large directed graphs for resting-state brain networks based on biophysical models of distributed neuronal activity, that is, effective connectivity.
Adeel Razi +8 more
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A Modular Framework for Centrality and Clustering in Complex Networks
IEEE Access, 2022 The structure of many complex networks includes edge directionality and weights on top of their topology. Network analysis that can seamlessly consider combination of these properties are desirable.
Frederique Oggier +2 more
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Weight-discounted Symmetrization in Clustering Directed Graphs
Proceedings of the 2012 2nd International Conference on Computer and Information Applications (ICCIA 2012), 2012 An increasing attention has been recently devoted to uncovering community structure in directed graphs which widely exist in real-world complex networks such as social networks, citation networks, World Wide Web, email networks, etc. A two-stage framework for detecting clusters is an effective way for clustering directed graphs while the first stage is
Bin He +3 more
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Computing Optimal Cycle Mean in Parallel on CUDA [PDF]
Electronic Proceedings in Theoretical Computer Science, 2011 Computation of optimal cycle mean in a directed weighted graph has many applications in program analysis, performance verification in particular. In this paper we propose a data-parallel algorithmic solution to the problem and show how the computation of
Jiří Barnat +3 more
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Determinantal properties of Boolean graphs using recursive approach
AKCE International Journal of Graphs and CombinatoricsThe aim of this paper is to study the determinant and inverse of the adjacency matrices of weighted and directed versions of Boolean graphs. Our approach is recursive. We describe the adjacency matrix of a weighted Boolean graph in terms of the adjacency
Gahininath Sonawane +2 more
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Intensity of Bilateral Contacts in Social Network Analysis
Information, 2020 The approach presented here introduces the use of directed and weighted graph indicators in order to incorporate the intensity of bilateral contacts. The indicators are tested on a reference email network, and their applicability in explaining the role ...
Panayotis Christidis
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