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Learning to rank influential nodes in complex networks via convolutional neural networks
AbstractIdentifying influential nodes is crucial for enhancing information diffusion in complex networks. Several approaches have been proposed to...
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Selecting Influential Nodes in Social Networks Using Neighborhood Coreness
With the proliferation of social networks, the study of the spread of influence has grabbed the attention of researchers from various disciplines....
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Identifying influential nodes based on new layer metrics and layer weighting in multiplex networks
Identifying influential nodes in multiplex complex networks have a critical importance to implement in viral marketing and other real-world...
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A method based on k-shell decomposition to identify influential nodes in complex networks
Identifying the most influential nodes in complex networks is an open research issue, which can be divided into two sub-problems: identifying and...
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Quantifying influential nodes in complex networks using optimization and particle dynamics: a comparative study
In this study, we propose a novel methodology called Particle Dynamics Method (PDM) for identifying and quantifying influential nodes in complex...
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MCD: A modified community diversity approach for detecting influential nodes in social networks
Over the last couple of decades, Social Networks have connected people on the web from across the globe and have become a crucial part of our daily...
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Detecting influential nodes with topological structure via Graph Neural Network approach in social networks
Detecting influential nodes in complex social networks is crucial due to the enormous amount of data and the constantly changing behavior of existing...
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A new semi-local centrality for identifying influential nodes based on local average shortest path with extended neighborhood
Quantifying the importance of nodes in complex networks is known as the problem of identifying influential nodes and is considered a critical aspect...
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Machine learning-based method to predict influential nodes in dynamic social networks
A challenging issue in complex networks is to effectively predict a set of influential nodes. Most previous studies typically ignore the local...
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Identify influential nodes in network of networks from the view of weighted information fusion
The network of networks (NONs) is a case of multiplex networks, when mining key nodes in the network, the information between the various...
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Identifying influential nodes for influence maximization problem in social networks using an improved discrete particle swarm optimization
Influence maximization problem is to select a set of influential nodes and maximize the influence spread of the seed set in the social networks....
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A high-performance algorithm for finding influential nodes in large-scale social networks
As one of the significant issues in social networks analysis, the influence maximization problem aims to fetch a minimal set of the most influential...
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Optimal price profile for influential nodes in online social networks
Influential nodes with rich connections in online social networks (OSNs) are of great values to initiate marketing campaigns. However, the potential...
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EDGly: detection of influential nodes using game theory
Identifying those nodes that play a critical role within a network is of great importance. Many applications such as gossip spreading, disease...
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CIM: clique-based heuristic for finding influential nodes in multilayer networks
Identifying Influential nodes (Influence maximization) in complex networks is an essential factor for spreading and controlling the information...
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Reliable multiplex semi-local random walk based on influential nodes to improve link prediction in complex networks
In recent years, the exponential growth of online social networks as complex networks has presented challenges in expanding networks and forging new...
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Identification of Influential Nodes for Drone Swarm Based on Graph Neural Networks
Accurately tracking the influential nodes in swarm is the key to improve the control or defense against the drone combat. But the identification of...
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Leveraging neighborhood and path information for influential spreaders recognition in complex networks
The study of influential spreaders has become a growing area of interest within network sciences due to its critical implications in understanding...
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NodeRank: Finding influential nodes in social networks based on interests
Finding influential members in social networks received a lot of interest in recent literature. Several algorithms have been proposed that provide...
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Identifying influential nodes in weighted complex networks using an improved WVoteRank approach
Influence maximization is an important research problem in the field of network science because of its business value. It requires the strategic...
