Results 11 to 20 of about 153,321 (300)

Ranking influential nodes in complex networks with community structure [PDF]

open access: goldPLoS ONE, 2022
Quantifying a node’s importance is decisive for developing efficient strategies to curb or accelerate any spreading phenomena. Centrality measures are well-known methods used to quantify the influence of nodes by extracting information from the network’s
Stephany Rajeh, Hocine Cherifi
doaj   +8 more sources

Exploring influential nodes using global and local information [PDF]

open access: yesScientific Reports, 2022
In complex networks, key nodes are important factors that directly affect network structure and functions. Therefore, accurate mining and identification of key nodes are crucial to achieving better control and a higher utilization rate of complex ...
Haifeng Hu   +4 more
doaj   +4 more sources

Influential nodes identification using network local structural properties [PDF]

open access: yesScientific Reports, 2022
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.
Bin Wang   +3 more
doaj   +5 more sources

A novel voting measure for identifying influential nodes in complex networks based on local structure [PDF]

open access: goldScientific Reports
Identifying influential nodes in real networks is significant in studying and analyzing the structural as well as functional aspects of networks. VoteRank is a simple and effective algorithm to identify high-spreading nodes. The accuracy and monotonicity
Haoyang Li   +4 more
doaj   +4 more sources

Locating influential nodes via dynamics-sensitive centrality. [PDF]

open access: yesSci Rep, 2016
With great theoretical and practical significance, locating influential nodes of complex networks is a promising issues. In this paper, we propose a dynamics-sensitive (DS) centrality that integrates topological features and dynamical properties.
Liu JG, Lin JH, Guo Q, Zhou T.
europepmc   +7 more sources

A Novel Method to Rank Influential Nodes in Complex Networks Based on Tsallis Entropy [PDF]

open access: goldEntropy, 2020
With the rapid development of social networks, it has become extremely important to evaluate the propagation capabilities of the nodes in a network. Related research has wide applications, such as in network monitoring and rumor control.
Xuegong Chen   +4 more
doaj   +4 more sources

Identifying influential nodes through hierarchical k-shell and extended neighborhood integration [PDF]

open access: goldScientific Reports
The identification of influential nodes has extensive applications in complex network research. To address the challenge of balancing accuracy and computational efficiency in existing methods, this paper proposes an algorithm named HKEN that integrates ...
Feifei Wang   +5 more
doaj   +4 more sources

Influential nodes identification for complex networks based on multi-feature fusion [PDF]

open access: greenScientific Reports
dentifying critical nodes in complex networks presents a significant challenge that has garnered extensive research attention. Previous studies often overlook the importance of spatial information, thereby limiting the accurate identification of key ...
Shaobao Li   +3 more
doaj   +4 more sources

Influential Nodes Identification in Complex Networks via Information Entropy [PDF]

open access: yesEntropy, 2020
Identifying a set of influential nodes is an important topic in complex networks which plays a crucial role in many applications, such as market advertising, rumor controlling, and predicting valuable scientific publications.
Chungu Guo   +5 more
doaj   +5 more sources

Identifying influential nodes using overlapping modularity vitality [PDF]

open access: greenProceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2021
Conference: ASONAM '21: International Conference on Advances in Social Networks Analysis and ...
Stephany Rajeh   +3 more
openalex   +5 more sources

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