SMPC-ranking: A privacy-preserving method on identifying influential nodes in multiple private networks

W Hu, X Xia, X Ding, X Zhang, K Zhong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Existing methods regarding the influential nodes identification in complex networks usually
assume that the structures of the networks are fully known. However, in many cases …

Identifying influential spreaders in a social network (While preserving Privacy)

VB Kukkala, SRS Iyengar - Proceedings on Privacy Enhancing …, 2020 - petsymposium.org
In order to disseminate information in a social network, it is important to first identify the
influential spreaders in the network. Using them as the seed spreaders, the aim is to ensure …

Vital spreaders identification in complex networks with multi-local dimension

T Wen, D Pelusi, Y Deng - Knowledge-Based Systems, 2020 - Elsevier
The important nodes identification has been an interesting problem in this issue. Several
centrality methods have been proposed to solve this problem, but most previous methods …

Privacy-preserving link prediction in multiple private networks

HF Zhang, XJ Ma, J Wang, X Zhang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In many cases, a network may be dispersedly recorded by different participants and each
participant is one part of the original network, and no one is willing to share its data due to …

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 …

The local triangle structure centrality method to rank nodes in networks

X Ma, Y Ma - Complexity, 2019 - Wiley Online Library
Detecting influential spreaders had become a challenging and crucial topic so far due to its
practical application in many areas, such as information propagation inhibition and disease …

Identifying influential nodes in complex networks via semi-local centrality

J Dong, F Ye, W Chen, J Wu - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Node influence refers to the ability of a node to disseminate information. The faster and
wider the node spreads, the more influential it is. With its great theoretical and practical …

BGN: identifying influential nodes in complex networks via backward generating networks

Z Lin, F Ye, C Chen, Z Zheng - IEEE Access, 2018 - ieeexplore.ieee.org
Identifying influential nodes in complex networks is of great significance. During recent
decades, numerous methods regarding influential nodes identification or important nodes …

Influential spreaders identification in complex networks with topsis and k-shell decomposition

X Liu, S Ye, G Fiumara… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In view that the K-shell decomposition method can only effectively identify a single most
influential node, but cannot accurately identify a group of most influential nodes, this article …

A novel weight neighborhood centrality algorithm for identifying influential spreaders in complex networks

J Wang, X Hou, K Li, Y Ding - Physica A: Statistical Mechanics and its …, 2017 - Elsevier
Identifying the most influential spreaders in complex networks is crucial for optimally using
the network structure and designing efficient strategies to accelerate information …