Visibility graph for time series prediction and image classification: a review
The analysis of time series and images is significant across different fields due to their
widespread applications. In the past few decades, many approaches have been developed …
widespread applications. In the past few decades, many approaches have been developed …
Influence maximization in social networks using effective community detection
Influence maximization problem aims to find a set of nodes with the highest diffusion in
social networks in order to maximize diffusion in the graph by this set. A set of these nodes …
social networks in order to maximize diffusion in the graph by this set. A set of these nodes …
A new community-based algorithm based on a “peak-slope-valley” structure for influence maximization on social networks
Influence Maximization (IM) is a key algorithmic problem that has been extensively studied
in social influence analysis, but most of existing researches either make sacrifices in solution …
in social influence analysis, but most of existing researches either make sacrifices in solution …
An efficient salp swarm algorithm based on scale-free informed followers with self-adaption weight
Meta-heuristic algorithms are often leveraged to solve complicated engineering optimization
and scientific problems. Salp swarm algorithm is one of the most useful meta-heuristic …
and scientific problems. Salp swarm algorithm is one of the most useful meta-heuristic …
Formulating opinion dynamics from belief formation, diffusion and updating in social network group decision-making: Towards developing a holistic framework
Interactions in social networks have become an integral part of people's daily lives. In
various decision-making situations, individuals usually hold diverse prior beliefs and …
various decision-making situations, individuals usually hold diverse prior beliefs and …
TSIFIM: A three-stage iterative framework for influence maximization in complex networks
C Dong, G Xu, P Yang, L Meng - Expert Systems with Applications, 2023 - Elsevier
The problem of influence maximization is a classic issue that has been well-studied in the
field of network science, but most of existing researches are compromising among …
field of network science, but most of existing researches are compromising among …
Identification of influential users with cost minimization via an improved moth flame optimization
The issue of influence maximization has received great attention due to its application
potential. Some traditional models used to solve the influence maximization problem only …
potential. Some traditional models used to solve the influence maximization problem only …
Multimodal hierarchical distributed multi-objective moth intelligence algorithm for economic dispatch of power systems
L Yin, Z Cai - Journal of Cleaner Production, 2024 - Elsevier
The issue of economic dispatch in the context of environmental sustainability is more
challenging with the integration of clean energy into the grid and the increase in the size of …
challenging with the integration of clean energy into the grid and the increase in the size of …
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 the robustness and vulnerability of …
sciences due to its critical implications in understanding the robustness and vulnerability of …
The SIQRS propagation model with quarantine on simplicial complexes
Simplicial complexes successfully resolve the limitation of social networks to describe the
spread of infectious diseases in group interactions. However, the effects of quarantines in …
spread of infectious diseases in group interactions. However, the effects of quarantines in …