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Published in 2023 at "IEEE Computer Graphics and Applications"
DOI: 10.1109/mcg.2023.3248289
Abstract: Existing dynamic weighted graph visualization approaches rely on users’ mental comparison to perceive temporal evolution of dynamic weighted graphs, hindering users from effectively analyzing changes across multiple timeslices. We propose DiffSeer, a novel approach for…
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Keywords:
dynamic weighted;
diffseer;
graph;
weighted graph ... See more keywords
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Published in 2019 at "International Journal of Advanced Robotic Systems"
DOI: 10.1177/1729881419846739
Abstract: In this article, we consider the problem of using multiple robots (searchers) to capture intruders in an environment. Assume that a robot can access the position of an intruder in real time, that is, an…
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Keywords:
weighted graph;
algorithms;
number robots;
environment ... See more keywords
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Published in 2023 at "PLOS ONE"
DOI: 10.1371/journal.pone.0283857
Abstract: We propose a new model to detect the overlapping communities of a network that is based on cooperative games and mathematical programming. More specifically, communities are defined as stable coalitions of a weighted graph community…
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Keywords:
communities detection;
graph community;
weighted graph;
detection weighted ... See more keywords
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1
Published in 2023 at "Axioms"
DOI: 10.3390/axioms12030247
Abstract: We prove a version of the Ekeland Variational Principle (EkVP) in a weighted graph G and its equivalence to Caristi fixed point theorem and to the Takahashi minimization principle. The usual completeness and topological notions…
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Keywords:
completeness;
ekeland variational;
osc property;
principle ... See more keywords
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Published in 2021 at "Symmetry"
DOI: 10.3390/sym13050902
Abstract: Establishing a node importance ranking is a problem that has attracted the attention of many researchers in recent decades. For unweighted networks where the edges do not have any attached weight, many proposals have been…
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Keywords:
weighted graph;
undirected weighted;
importance;
generalization importance ... See more keywords