Dynamic collective opinion generation framework for digital transformation barrier analysis in the construction industry

ZS Chen, CZ Liang, YQ Xu, W Pedrycz… - Information Fusion, 2024 - Elsevier
The absence of a reliable, dynamic evaluation system has impeded early-stage industrial
research progress, particularly in the digital transformation of the construction industry …

FIP: A fast overlapping community-based Influence Maximization Algorithm using probability coefficient of global diffusion in social networks

A Bouyer, HA Beni, B Arasteh, Z Aghaee… - Expert systems with …, 2023 - Elsevier
Influence maximization is the process of identifying a small set of influential nodes from a
complex network to maximize the number of activation nodes. Due to the critical issues such …

Vital spreaders identification synthesizing cross entropy and information entropy with Kshell method

TC Tong, Q Dong, JS Sun, Y Jiang - Expert Systems with Applications, 2023 - Elsevier
Identifying vital spreaders of complex networks is a crucial issue that studies the dynamic
processes and analyzes the performance of networks. In this work, we present a new …

A Novel Method to Identify Key Nodes in Complex Networks Based on Degree and Neighborhood Information

N Zhao, S Yang, H Wang, X Zhou, T Luo, J Wang - Applied Sciences, 2024 - mdpi.com
One key challenge within the domain of network science is accurately finding important
nodes within a network. In recent years, researchers have proposed various node centrality …

Multi-level modeling and robustness evaluation of disturbances in intelligent workshop with temporal snapshot network

Y Zhou, G Zhou, C Zhang, F Chang, Z Wang… - Journal of Manufacturing …, 2023 - Elsevier
Disturbances occurred in the workshop production process disrupt the original production
order, thus affecting production efficiency and production stability. Previous research …

[HTML][HTML] The spatiotemporal analysis of the population migration network in China, 2021

W Li, Y Yao - Infectious Disease Modelling, 2023 - Elsevier
Population migration is a critical component of large-scale spatiotemporal models of
infectious disease transmission. Identifying the most influential spreaders in networks is vital …

Identifying influential nodes in complex networks using a gravity model based on the H-index method

S Zhu, J Zhan, X Li - Scientific Reports, 2023 - nature.com
Identifying influential spreaders in complex networks is a widely discussed topic in the field
of network science. Numerous methods have been proposed to rank key nodes in the …

Identifying vital nodes for influence maximization in attributed networks

Y Wang, Y Zheng, Y Liu - Scientific Reports, 2022 - nature.com
Identifying a set of vital nodes to achieve influence maximization is a topic of general interest
in network science. Many algorithms have been proposed to solve the influence …

Measuring user influence in real-time on twitter using behavioural features

MAU Hasan, AA Bakar, MR Yaakub - Physica A: Statistical Mechanics and …, 2024 - Elsevier
Identifying influential users in online social networks, specifically Twitter, has drawn
considerable research interest due to their profound influence on real-world events. Existing …

Identification of influential nodes in complex networks with degree and average neighbor degree

D Chen, H Su - IEEE Journal on Emerging and Selected Topics …, 2023 - ieeexplore.ieee.org
Identifying influential nodes in complex networks is vital for understanding their structure and
dynamic behavior. Although methods based on a single characteristic of nodes have been …