The evolution dynamics of collective and individual opinions in social networks

Expert Systems with Applications, Год журнала: 2024, Номер 255, С. 124813 - 124813

Опубликована: Июль 18, 2024

Язык: Английский

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Identification of important nodes in multi-layer hypergraphs based on fuzzy gravity model and node centrality distribution characteristics

Chaos Solitons & Fractals, Год журнала: 2024, Номер 188, С. 115503 - 115503

Опубликована: Сен. 12, 2024

Язык: Английский

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Priority-based two-phase method for hierarchical service composition allocation in cloud manufacturing

Computers & Industrial Engineering, Год журнала: 2024, Номер 196, С. 110517 - 110517

Опубликована: Авг. 24, 2024

Язык: Английский

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Efficient hybrid PageRank centrality computation for multilayer networks

Chaos Solitons & Fractals, Год журнала: 2025, Номер 192, С. 116018 - 116018

Опубликована: Янв. 18, 2025

Язык: Английский

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Port Node Importance and Risk Assessment in Shipping Networks Based on An Improved PageRank Approach and Reliability Analysis

SAE technical papers on CD-ROM/SAE technical paper series, Год журнала: 2025, Номер 1

Опубликована: Фев. 21, 2025

<div class="section abstract"><div class="htmlview paragraph">Since the rapid development of shipping and port industries in second half twentieth century, introduction container technology has transformed cargo management systems, while simultaneously increasing vulnerability global networks to natural disasters international conflicts. To address this challenge, study leverages AIS data sourced from Vessel Traffic Data website extract ship stop trajectories construct a network. The constructed network exhibits small-world characteristics, with most nodes having low degree values, few ports possess extremely high values. Furthermore, improved PageRank algorithm assess importance introduced reliability theory risk assessment analyze failure risks nodes, providing new methods perspectives for analyzing network.</div></div>

Язык: Английский

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Centrality in multilayer networks: accurate measurements with MultiNetPy

The Journal of Supercomputing, Год журнала: 2025, Номер 81(5)

Опубликована: Апрель 2, 2025

Язык: Английский

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OVED-Rank: A ranking scheme to evaluate complex network spreaders’ influence through the concept of effective distance and orbital velocity

Information Processing & Management, Год журнала: 2025, Номер 62(5), С. 104201 - 104201

Опубликована: Май 2, 2025

Язык: Английский

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The collaborative role of K-Shell and PageRank for identifying influential nodes in complex networks

Physica A Statistical Mechanics and its Applications, Год журнала: 2024, Номер unknown, С. 130256 - 130256

Опубликована: Ноя. 1, 2024

Язык: Английский

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A Comprehensive Evaluation Method of Machining Center Components’ Importance Based on Combined Variable Weight

Mathematics, Год журнала: 2024, Номер 12(2), С. 330 - 330

Опубликована: Янв. 19, 2024

The fault transitivity of machining center components causes their propagation indexes to demonstrate dynamic time variability, which affects importance. method proposed in this study overcomes the biases existing methods evaluating importance system components, as they are mostly based on single indexes; probability and risk selected perform a comprehensive evaluation. This first establishes network hierarchical structure model for degree influence among is calculated. On basis, improved adjacent spreading paths (ASP) algorithm used calculate index each component; from two perspectives risk, an evaluation mechanism involving combined variable weight comprehensively evaluate components’ Taking certain type example, through comparison with ranking results other node methods, it verified that can more effectively distinguish differences component, thus illustrating effectiveness practical value method.

Язык: Английский

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Complex network analysis for accident causes modelling to enhance process safety in chemical enterprises

The Canadian Journal of Chemical Engineering, Год журнала: 2024, Номер unknown

Опубликована: Сен. 16, 2024

Abstract Hazardous chemicals often cause catastrophic accidents, and accidents result from intricate interactions among various causes. Due to the varying risk factors in different areas of chemical enterprises, achieve more precise prevention, a detailed study accident each area is necessary. Therefore, this focuses on analyzing critical causes their interrelationships functional enterprises enhance process safety by using complex network model. Based 90 information, models are constructed for hazardous warehouse (HCWAs), tank farm (TFAs), production (PAs). Subsequently, topological analysis conducted. PageRank algorithm, 13 nodes identified HCWAs, while 14 TFAs PAs. Node degree with confidence quantifies mutual influences, forming causal links area. The research results offer decision support control, aiding reducing future improving system enterprises.

Язык: Английский

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