An improved gravity model to identify influential nodes in complex networks based on k-shell method

X Yang, F Xiao - Knowledge-Based Systems, 2021 - Elsevier
To find the important nodes in complex networks is a fundamental issue. A number of
methods have been recently proposed to address this problem but most previous studies …

Evidence combination based on prospect theory for multi-sensor data fusion

F Xiao - ISA transactions, 2020 - Elsevier
Multi-sensor data fusion (MSDF) is an efficient technology to enhance the performance of
the system with the involvement of different kinds of sensors, which are broadly utilized in …

Centrality-Based On-Path Caching Strategies in NDN-Based Internet of Things: A Survey

MA Naeem, IU Din, Y Meng, A Almogren… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The substantial growth in data volume has led to considerable technological obstacles on
the Internet. In order to address the high volume of Internet traffic, the research community …

Ranking influential nodes in complex networks based on local and global structures

L Qiu, J Zhang, X Tian - Applied intelligence, 2021 - Springer
Identifying influential nodes in complex networks is an open and challenging issue. Many
measures have been proposed to evaluate the influence of nodes and improve the accuracy …

Identifying influential nodes in complex networks based on multiple local attributes and information entropy

J Zhang, Q Zhang, L Wu, J Zhang - Entropy, 2022 - mdpi.com
Identifying influential nodes in complex networks has attracted the attention of many
researchers in recent years. However, due to the high time complexity, methods based on …

[HTML][HTML] Lexical sorting centrality to distinguish spreading abilities of nodes in complex networks under the Susceptible-Infectious-Recovered (SIR) model

A Şimşek - Journal of King Saud University-Computer and …, 2022 - Elsevier
Epidemic modeling in complex networks is a hot research topic in recent years. The
spreading of a virus (such as SARS-CoV-2) in a community, spreading computer viruses in …

Extracting and ranking product features in consumer reviews based on evidence theory

L Zhou, L Tang, Z Zhang - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Online consumer product reviews have been the primary source for manufacturers and
consumers to obtain consumer knowledge and product information. However, the explosion …

Epidemic Model-based Network Influential Node Ranking Methods: A Ranking Rationality Perspective

B Zhang, X Zhao, J Nie, J Tang, Y Chen… - ACM Computing …, 2024 - dl.acm.org
Existing surveys and reviews on Influential Node Ranking Methods (INRMs) have primarily
focused on technical details, neglecting thorough research on verifying the actual influence …

A method for combining conflicting evidences with improved distance function and Tsallis entropy

H Li, F Xiao - International Journal of Intelligent Systems, 2020 - Wiley Online Library
For the sake of great ability of handling uncertain information, Dempster‐Shafer evidence
theory is extensively used in information fusion. Nevertheless, when there exists highly …

Identifying Learning Leaders in Online Social Networks Based on Community of Practice Theoretical Framework and Information Entropy

H Aldahmash, A Alothaim, A Mirza - IEEE Access, 2024 - ieeexplore.ieee.org
The dynamic shifts in educational settings have led scholars to explore online social
networks (OSNs) as emergent environment for learning communities. Recognized for their …