[HTML][HTML] Identifying spreading influence nodes for social networks

Y Ou, Q Guo, J Liu - Frontiers of Engineering Management, 2022 - Springer
The identification of spreading influence nodes in social networks, which studies how to
detect important individuals in human society, has attracted increasing attention from …

Identifying vital nodes from local and global perspectives in complex networks

A Ullah, B Wang, JF Sheng, J Long, N Khan… - Expert Systems with …, 2021 - Elsevier
Recognition of vital nodes in complex networks retains great importance in the improvement
of network's robustness and vulnerability. Consistent research proposed various …

[HTML][HTML] Identifying influential spreaders by gravity model considering multi-characteristics of nodes

Z Li, X Huang - Scientific Reports, 2022 - nature.com
How to identify influential spreaders in complex networks is a topic of general interest in the
field of network science. Therefore, it wins an increasing attention and many influential …

IEA-GNN: Anchor-aware graph neural network fused with information entropy for node classification and link prediction

P Zhang, J Chen, C Che, L Zhang, B Jin, Y Zhu - Information Sciences, 2023 - Elsevier
Graph neural networks are essential in mining complex relationships in graphs. However,
most methods ignore the global location information of nodes and the discrepancy between …

Semi-global triangular centrality measure for identifying the influential spreaders from undirected complex networks

A Namtirtha, B Dutta, A Dutta - Expert Systems with Applications, 2022 - Elsevier
The influential spreaders play a significant role in maximizing or controlling any spreading
process in a network. In the literature, many methods have been proposed to identify …

Identification of spreading influence nodes via multi-level structural attributes based on the graph convolutional network

Y Ou, Q Guo, JL Xing, JG Liu - Expert Systems with Applications, 2022 - Elsevier
The network structural properties at the micro-level, community-level and macro-level have
different contributions to the spreading influence of nodes. The challenge is how to make …

[HTML][HTML] Integrating local and global information to identify influential nodes in complex networks

MF Mukhtar, Z Abal Abas, AS Baharuddin… - Scientific Reports, 2023 - nature.com
Centrality analysis is a crucial tool for understanding the role of nodes in a network, but it is
unclear how different centrality measures provide much unique information. To improve the …

GSI: An influential node detection approach in heterogeneous network using covid-19 as use case

RD Shetty, S Bhattacharjee, A Dutta… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The growth of COVID-19, caused by the SARS-CoV-2 virus, has turned into an
unprecedented pandemic in the last century. It is crucial to identify superspreading nodes to …

Lss: a locality-based structure system to evaluate the spreader's importance in social complex networks

A Ullah, J Shao, Q Yang, N Khan, CM Bernard… - Expert Systems with …, 2023 - Elsevier
Assessing the importance of spreaders in networks is crucial for investigating the survival
and robustness of networks. There are numerous potential applications, such as preventing …

[HTML][HTML] La gestión del conocimiento en emprendimientos sociales: un análisis bibliométrico y cienciométrico de tendencias

N Marulanda Grisales, JJ Herrera Pulgarín… - Revista Universidad y …, 2022 - scielo.org.co
Las tendencias de gestión de conocimiento en emprendimientos sociales precisan la
revisión sobre las formas de liderazgo en los territorios, a fin de caracterizar habilidades y …