Graph learning: A survey
Graphs are widely used as a popular representation of the network structure of connected
data. Graph data can be found in a broad spectrum of application domains such as social …
data. Graph data can be found in a broad spectrum of application domains such as social …
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 …
A survey of community detection methods in multilayer networks
X Huang, D Chen, T Ren, D Wang - Data Mining and Knowledge …, 2021 - Springer
Community detection is one of the most popular researches in a variety of complex systems,
ranging from biology to sociology. In recent years, there's an increasing focus on the rapid …
ranging from biology to sociology. In recent years, there's an increasing focus on the rapid …
A survey on influence maximization models
M Jaouadi, LB Romdhane - Expert Systems with Applications, 2024 - Elsevier
Influence maximization is an important research area in social network analysis where
researchers are concerned with detecting influential nodes. The detection of influential …
researchers are concerned with detecting influential nodes. The detection of influential …
A hierarchical network-oriented analysis of user participation in misinformation spread on WhatsApp
WhatsApp emerged as a major communication platform in many countries in the recent
years. Despite offering only one-to-one and small group conversations, WhatsApp has been …
years. Despite offering only one-to-one and small group conversations, WhatsApp has been …
Finding critical nodes in a complex network from information diffusion and Matthew effect aggregation
Z Sun, Y Sun, X Chang, F Wang, Q Wang… - Expert Systems with …, 2023 - Elsevier
The identification of critical nodes is a crucial aspect in studying the spread of diseases,
vaccination strategies, power grid robustness, advertisement placement, and rumor control …
vaccination strategies, power grid robustness, advertisement placement, and rumor control …
[HTML][HTML] Identifying the influential nodes in complex social networks using centrality-based approach
Estimating the importance of nodes in complex social networks is significant for
understanding the robustness and stability of a network such as preventing the spread of …
understanding the robustness and stability of a network such as preventing the spread of …
On the dynamics of political discussions on instagram: A network perspective
Instagram has been increasingly used as a source of information especially among the
youth. As a result, political figures now leverage the platform to spread opinions and political …
youth. As a result, political figures now leverage the platform to spread opinions and political …
Debate on online social networks at the time of COVID-19: An Italian case study
The COVID-19 pandemic is not only having a heavy impact on healthcare but also changing
people's habits and the society we live in. Countries such as Italy have enforced a total …
people's habits and the society we live in. Countries such as Italy have enforced a total …
OlapGN: a multi-layered graph convolution network-based model for locating influential nodes in graph networks
Complex networks necessitate the identification of key nodes owing to their ubiquity across
the network. Traditional methodologies, such as machine learning-based and centrality …
the network. Traditional methodologies, such as machine learning-based and centrality …