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Quantum social network analysis: Methodology, implementation, challenges, and future directions
Quantum social network analysis (QSNA) is a recent advancement in the interdisciplinary
field of quantum computing and social network analysis. This manuscript comprehensively …
field of quantum computing and social network analysis. This manuscript comprehensively …
Deployment of information diffusion for community detection in online social networks: A comprehensive review
The flow of information through active users in online social networks (OSNs) plays a major
role in forming natural social groups, popularly known as communities. Although structural …
role in forming natural social groups, popularly known as communities. Although structural …
Enhancing evacuation response to extreme weather disasters using public transportation systems: A novel simheuristic approach
In recent years, there have been an increasing number of extreme weather events that have
had major impacts on the built environment and particularly on people living in urban areas …
had major impacts on the built environment and particularly on people living in urban areas …
Unified operation optimization model of integrated coal mine energy systems and its solutions based on autonomous intelligence
Y Wang, H Hu, X Sun, Y Zhang, D Gong - Applied Energy, 2022 - Elsevier
An integrated coal mine energy system involves the production, transmission, conversion,
storage, and consumption of multiple types of energy with complicated coupling …
storage, and consumption of multiple types of energy with complicated coupling …
Ant colony optimization algorithm for scheduling jobs with fuzzy processing time on parallel batch machines with different capacities
We study the problem of scheduling on parallel batch processing machines with different
capacities under a fuzzy environment to minimize the makespan. The jobs have non …
capacities under a fuzzy environment to minimize the makespan. The jobs have non …
Introductory review of swarm intelligence techniques
T Chinglemba, S Biswas, D Malakar, V Meena… - Advances in Swarm …, 2022 - Springer
With the rapid upliftment of technology, there has emerged a dire need to 'fine-tune'or
'optimize'certain processes, software, models or structures, with utmost accuracy and …
'optimize'certain processes, software, models or structures, with utmost accuracy and …
CLP-ID: Community-based link prediction using information diffusion
In recent years, most link prediction algorithms have focused on node similarity owing to the
associated low computational complexity and promising accuracy. In addition to the …
associated low computational complexity and promising accuracy. In addition to the …
A local community detection algorithm based on internal force between nodes
K Guo, L He, Y Chen, W Guo, J Zheng - Applied Intelligence, 2020 - Springer
Community structure is an important characteristic of complex networks. Uncovering
communities in complex networks is currently a hot research topic in the field of network …
communities in complex networks is currently a hot research topic in the field of network …
TCD2: Tree-based community detection in dynamic social networks
Community detection in social networks is an important field of research in data mining and
has an abundant literature. Time varying social networks require algorithms that can comply …
has an abundant literature. Time varying social networks require algorithms that can comply …
A multi-objective co-evolutionary algorithm of scheduling on parallel non-identical batch machines
Y Wang, Z Jia, K Li - Expert Systems with Applications, 2021 - Elsevier
This paper investigates the problem scheduling a set of jobs on parallel batch processing
machines with different capacities and non-identical processing powers for minimizing the …
machines with different capacities and non-identical processing powers for minimizing the …