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On the Vertex-Connectivity of an Uncertain Random Graph [PDF]
IEEE Access, 2020 In many practical problems, randomness and uncertainty simultaneously appear in one complex system or network. When graph theory is applied to these problems, these complex systems or networks are usually represented by uncertain random graphs, in which ...
Hao Li, Xin Gao
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On the Edge-Connectivity of an Uncertain Random Graph [PDF]
IEEE Access, 2020 Connectivity is one of the most important concepts in graph theory. When graph theory is applied to complex systems with indeterminate factors, uncertainty and randomness are two basic types of indeterminacy.
Hao Li, Hui Zhang
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Local Connectivity of Uncertain Random Graphs [PDF]
IEEE Access, 2020 As the system becomes more and more complex, we are usually in the state of indeterminacy. In the real world, the states of uncertainty and randomness are the two most common types of indeterminacy.
Hui Li, Bo Zhang, Jin Peng, Xiangyu Ge
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On the significance of edges for connectivity in uncertain random graphs [PDF]
Soft Computing, 2021 In practical applications of graph theory, indeterminacy factors always appear in graphs. Uncertain random graph was proposed via chance theory, in which some edges exist with degrees in probability measure and others exist with degrees in uncertain measure.
Hao Li, Xin Gao
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Regularity Index of Uncertain Random Graph
Symmetry, 2023 A graph containing some edges with probability measures and other edges with uncertain measures is referred to as an uncertain random graph. Numerous real-world problems in social networks and transportation networks can be boiled down to optimization problems in uncertain random graphs.
Lin Chen +4 more
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Generating random graphs with prescribed graphlet frequency bounds derived from probabilistic networks. [PDF]
PLoS ONETesting or benchmarking network algorithms in bioinformatics requires a diverse set of networks with realistic properties. Real networks are often supplemented by randomly generated synthetic ones, but most graph generative models do not take into ...
Bram Mornie +3 more
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A FRAMEWORK TO MANAGE UNCERTAINTY IN THE COMPUTATION OF WASTE COLLECTION ROUTES AFTER A FLOOD [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 In this paper, we describe a framework to find a good quality waste collection tour after a flood, without having to solve a complicated optimization problem from scratch in limited time.
A. Le Guilcher +4 more
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Implicit neural state functions in hybrid reliability analysis of plane frame [PDF]
Archives of Civil Engineering, 2023 The objective of the article involves presenting innovative approach to the assessment of structural reliability analysis. The primary research method was the First Order Reliability Method (FORM).
Beata Potrzeszcz-Sut +2 more
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Cycle index of uncertain random graph [PDF]
Journal of Intelligent & Fuzzy Systems, 2018 With the increasing of the complexity of a system, there is a variety of indeterminacy in the practical applications of graph theory. We focus on uncertain random graph, in which some edges exist with degrees in probability measure and others exist with degrees in uncertain measure.
Chen, Lin +3 more
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A new stochastic diffusion model for influence maximization in social networks
Scientific Reports, 2023 Most current studies on information diffusion in online social networks focus on the deterministic aspects of social networks. However, the behavioral parameters of online social networks are uncertain, unpredictable, and time-varying.
Alireza Rezvanian +2 more
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