On community structure in complex networks: challenges and opportunities
Community structure is one of the most relevant features encountered in numerous real-
world applications of networked systems. Despite the tremendous effort of a large …
world applications of networked systems. Despite the tremendous effort of a large …
A systematic survey on influential spreaders identification in complex networks with a focus on K-shell based techniques
Almost all the complex interactions between humans, animals, biological cells, neurons, or
any other objects are now modeled as a graph with the nodes as the objects of interest and …
any other objects are now modeled as a graph with the nodes as the objects of interest and …
Influence maximization in social networks using graph embedding and graph neural network
With the boom in technologies and mobile networks in recent years, online social networks
have become an integral part of our daily lives. These virtual networks connect people …
have become an integral part of our daily lives. These virtual networks connect people …
The random walk-based gravity model to identify influential nodes in complex networks
The identification of influential nodes in complex networks has been a topic of immense
interest. In most cases, the local approach represented by degree centrality performs well …
interest. In most cases, the local approach represented by degree centrality performs well …
Influence maximization in social networks using transfer learning via graph-based LSTM
Social networks have emerged as efficient platforms to connect people worldwide and
facilitate the rapid spread of information. Identifying influential nodes in social networks to …
facilitate the rapid spread of information. Identifying influential nodes in social networks to …
Centrality in complex networks with overlapping community structure
Identifying influential spreaders in networks is an essential issue in order to prevent
epidemic spreading, or to accelerate information diffusion. Several centrality measures take …
epidemic spreading, or to accelerate information diffusion. Several centrality measures take …
A survey on centrality metrics and their network resilience analysis
Centrality metrics have been studied in the network science research. They have been used
in various networks, such as communication, social, biological, geographic, or contact …
in various networks, such as communication, social, biological, geographic, or contact …
Innovation evolution of industry-university-research cooperation under low-carbon development background: In case of 2 carbon neutrality technologies
H Zhou, X Zhu, J Dai, W Wu - Sustainable Energy Technologies and …, 2023 - Elsevier
Offsetting carbon emissions by various means is carbon neutrality. Technological innovation
is an important path to carbon neutrality and has been framed in China's policy planning …
is an important path to carbon neutrality and has been framed in China's policy planning …
Influential nodes identification in complex networks via information entropy
Identifying a set of influential nodes is an important topic in complex networks which plays a
crucial role in many applications, such as market advertising, rumor controlling, and …
crucial role in many applications, such as market advertising, rumor controlling, and …
Identifying influential spreaders in complex networks based on improved k-shell method
M Wang, W Li, Y Guo, X Peng, Y Li - Physica A: Statistical Mechanics and …, 2020 - Elsevier
Identifying influential spreaders in complex networks is a fundamental network project. It has
drawn great attention in recent years because of its great theoretical significance and …
drawn great attention in recent years because of its great theoretical significance and …