A new semi-local centrality for identifying influential nodes based on local average shortest path with extended neighborhood
Sign Up to like & getrecommendations! Published in 2024 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-024-10725-2
Abstract: Quantifying the importance of nodes in complex networks is known as the problem of identifying influential nodes and is considered a critical aspect in interacting with these networks. This problem has many applications such as… read more here.
Keywords: influential nodes; extended neighborhood; centrality; average shortest ... See more keywords
An Intelligent Centrality Measures for Influential Node Detection in COVID-19 Environment
Sign Up to like & getrecommendations! Published in 2021 at "Wireless Personal Communications"
DOI: 10.1007/s11277-021-08577-y
Abstract: With an advent of social networks, spamming has posted the most important serious issues among the users. These are termed as influential users who spread the spam messages in the community which has created the… read more here.
Keywords: intelligent centrality; community; influential nodes; centrality ... See more keywords
An empirical evaluation of the influential nodes for stock market network: Chinese A-shares case
Sign Up to like & getrecommendations! Published in 2020 at "Finance Research Letters"
DOI: 10.1016/j.frl.2020.101517
Abstract: Abstract This paper aims to rank the influential nodes for Chinese A-share market by employing complex network analysis approach. More than one hundred directed weighted stock market networks are constructed by the methods of Engle-Granger… read more here.
Keywords: network; empirical evaluation; market; influential nodes ... See more keywords
Influential nodes identification using network local structural properties
Sign Up to like & getrecommendations! Published in 2022 at "Scientific Reports"
DOI: 10.1038/s41598-022-05564-6
Abstract: With the rapid development of information technology, the scale of complex networks is increasing, which makes the spread of diseases and rumors harder to control. Identifying the influential nodes effectively and accurately is critical to… read more here.
Keywords: nodes identification; identification using; network local; using network ... See more keywords
Prediction of influential nodes in social networks based on local communities and users’ reaction information
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DOI: 10.1038/s41598-024-66277-6
Abstract: Identifying influential nodes is one of the basic issues in managing large social networks. Identifying influence nodes in social networks and other networks, including transportation, can be effective in applications such as identifying the sources… read more here.
Keywords: method; nodes social; influential nodes; proposed method ... See more keywords
Overlapping community and entropy of neighborhood information for identifying influential nodes in complex networks
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-26893-2
Abstract: Identifying influential nodes in complex networks is a fundamental problem in network science, with applications in social networks, information diffusion, and epidemic control. Traditional approaches often rely on node degree or centrality indices, which may… read more here.
Keywords: neighborhood information; influential nodes; identifying influential; overlapping community ... See more keywords
Identifying influential nodes: A new method based on network efficiency of edge weight updating.
Sign Up to like & getrecommendations! Published in 2021 at "Chaos"
DOI: 10.1063/5.0033197
Abstract: Identification of influential nodes in complex networks is an area of exciting growth since it can help us to deal with various problems. Furthermore, identifying important nodes can be used across various disciplines, such as… read more here.
Keywords: network; information network; method; influential nodes ... See more keywords
Six-degree gravity centrality for detecting influential nodes in networks
Sign Up to like & getrecommendations! Published in 2025 at "Chinese Physics B"
DOI: 10.1088/1674-1056/adec62
Abstract: Identifying critical nodes is a pivotal research topic in network science, yet the efficient and accurate detection of highly influential nodes remains a challenge. Existing centrality measures predominantly rely on local or global topological structures,… read more here.
Keywords: gravity centrality; influential nodes; degree gravity; centrality ... See more keywords
Identifying Influential Nodes in Social Networks: Exploiting Self-Voting Mechanism.
Sign Up to like & getrecommendations! Published in 2023 at "Big data"
DOI: 10.1089/big.2022.0165
Abstract: The influence maximization (IM) problem is defined as identifying a group of influential nodes in a network such that these nodes can affect as many nodes as possible. Due to its great significance in viral… read more here.
Keywords: nodes social; identifying influential; self voting; influential nodes ... See more keywords
Convex Isolating Clustering Centrality to Discover the Influential Nodes in Large Scale Networks
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3384242
Abstract: Ranking influential nodes within complex networks offers invaluable insights into a wide array of phenomena ranging from disease management to information dissemination and optimal routing in real-time networking applications. Centrality measures, which quantify the importance… read more here.
Keywords: influential nodes; clustering centrality; centrality; scale networks ... See more keywords
Efficient Influential Nodes Tracking via Link Prediction in Evolving Networks
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3542852
Abstract: Influence maximization (IM), which aims to identify the most influential k nodes in a network, is fundamental to numerous applications, including viral marketing and recommendation systems. This topic has garnered significant scholarly attention. However, most… read more here.
Keywords: nodes tracking; link prediction; influential nodes; problem ... See more keywords