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 …
Big networks: A survey
A network is a typical expressive form of representing complex systems in terms of vertices
and links, in which the pattern of interactions amongst components of the network is intricate …
and links, in which the pattern of interactions amongst components of the network is intricate …
CNDP: Link prediction based on common neighbors degree penalization
S Rafiee, C Salavati, A Abdollahpouri - Physica A: Statistical Mechanics …, 2020 - Elsevier
In social network analysis, link prediction is a fundamental tool to determine new
relationships among users which are most likely to occur in the future. Link prediction by …
relationships among users which are most likely to occur in the future. Link prediction by …
A novel potential edge weight method for identifying influential nodes in complex networks based on neighborhood and position
L Meng, G Xu, P Yang, D Tu - Journal of Computational Science, 2022 - Elsevier
The identification of influential nodes is one of the most urgent and challenging research
issues in complex networks, which is crucial to the robustness and stability of networks …
issues in complex networks, which is crucial to the robustness and stability of networks …
Weighted kshell degree neighborhood: A new method for identifying the influential spreaders from a variety of complex network connectivity structures
Due to the fast and worldwide growth of the social network, it has become a potent platform
for broadcasting any information. Through the network, people can easily reach to a mass …
for broadcasting any information. Through the network, people can easily reach to a mass …
EHC: Extended H-index centrality measure for identification of users' spreading influence in complex networks
A Zareie, A Sheikhahmadi - Physica A: Statistical Mechanics and its …, 2019 - Elsevier
In recent research, the importance of determining social network users' spreading influence
and ranking them has attracted plenty of attention. H-index is one of the methods that have …
and ranking them has attracted plenty of attention. H-index is one of the methods that have …
A network science perspective of graph convolutional networks: A survey
The mining and exploitation of graph structural information have been the focal points in the
study of complex networks. Traditional structural measures in Network Science focus on the …
study of complex networks. Traditional structural measures in Network Science focus on the …
Identifying influencers in social networks
X Huang, D Chen, D Wang, T Ren - Entropy, 2020 - mdpi.com
Social network analysis is a multidisciplinary research covering informatics, mathematics,
sociology, management, psychology, etc. In the last decade, the development of online …
sociology, management, psychology, etc. In the last decade, the development of online …
A multi-attribute method for ranking influential nodes in complex networks
A Sheikhahmadi, F Veisi, A Sheikhahmadi… - Plos one, 2022 - journals.plos.org
Calculating the importance of influential nodes and ranking them based on their diffusion
power is one of the open issues and critical research fields in complex networks. It is …
power is one of the open issues and critical research fields in complex networks. It is …
A novel model to identify the influential nodes: Evidence Theory Centrality
The identification of critical nodes in complex networks is an open issue. Many scholars
have tried to address it from different perspectives, but their methods are often not as …
have tried to address it from different perspectives, but their methods are often not as …