Topological to deep learning era for identifying influencers in online social networks: a systematic review
Influential user detection in social media networks involves identifying users who have a
significant impact on the network's dynamics and can shape opinions and behaviours of …
significant impact on the network's dynamics and can shape opinions and behaviours of …
Identifying spreading influence nodes for social networks
The identification of spreading influence nodes in social networks, which studies how to
detect important individuals in human society, has attracted increasing attention from …
detect important individuals in human society, has attracted increasing attention from …
Identification of spreading influence nodes via multi-level structural attributes based on the graph convolutional network
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 …
different contributions to the spreading influence of nodes. The challenge is how to make …
An insight into topological, machine and Deep Learning-based approaches for influential node identification in social media networks: a systematic review
Online social networks are social interaction platforms having dynamic nature with billions of
users around the world. Online social communications among its multiple users cause a …
users around the world. Online social communications among its multiple users cause a …
Identification of perceptive users based on the graph convolutional network
Q Guo, Y Luo, Y Ou, M Liu, JG Liu - Expert Systems with Applications, 2025 - Elsevier
In this paper, we introduce a pioneering approach titled Identifying Perceptive Users based
on Graph Convolutional Networks (IPGCN), tailored specifically for user-object bipartite …
on Graph Convolutional Networks (IPGCN), tailored specifically for user-object bipartite …
Finding influential users in microblogs: state-of-the-art methods and open research challenges
Social networks are online platforms that people use for interaction, information sharing and
propagation of new ideas. Finding influential users in online social networks is a significant …
propagation of new ideas. Finding influential users in online social networks is a significant …
[HTML][HTML] Identifying Key Nodes for the Influence Spread Using a Machine Learning Approach
M Stolarski, A Piróg, P Bródka - Entropy, 2024 - mdpi.com
The identification of key nodes in complex networks is an important topic in many network
science areas. It is vital to a variety of real-world applications, including viral marketing …
science areas. It is vital to a variety of real-world applications, including viral marketing …
Social Influence Analysis in Online Social Networks for Viral Marketing: A Survey
One of the most exciting developments of the last few years has been the rise of online
social networks. The richness of this network's content provides unprecedented …
social networks. The richness of this network's content provides unprecedented …
A social network based approach to identify and rank influential nodes for smart city
Purpose In online social network analysis, the problem of identification and ranking of
influential nodes based on their prominence has attracted immense attention from …
influential nodes based on their prominence has attracted immense attention from …
[引用][C] Profilzuordnung über soziale Netze anhand von Metadaten
R Rödler - Dissertation, Neubiberg, Universität …