Opinion leader detection using whale optimization algorithm in online social network
In the current digital era, optimization is one of the most significant problems in the social
network. Most of the issues related to optimization are NP-complete and not possible to …
network. Most of the issues related to optimization are NP-complete and not possible to …
Applying machine learning techniques for caching in edge networks: A comprehensive survey
Edge networking is a complex and dynamic computing paradigm that aims to push cloud
resources closer to the end user improving responsiveness and reducing backhaul traffic …
resources closer to the end user improving responsiveness and reducing backhaul traffic …
[HTML][HTML] An ecommerce recommendation algorithm based on link prediction
G Liu - Alexandria Engineering Journal, 2022 - Elsevier
In the field of ecommerce, most recommendation algorithms are based on user-item bipartite
graph network (BGN). But this kind of recommendation algorithm is severely lacking in …
graph network (BGN). But this kind of recommendation algorithm is severely lacking in …
Opinion leaders for information diffusion using graph neural network in online social networks
Various opportunities are available to depict different domains due to the diverse nature of
social networks and researchers' insatiable. An opinion leader is a human entity or cluster of …
social networks and researchers' insatiable. An opinion leader is a human entity or cluster of …
[HTML][HTML] From likes to sustainability: How social media influencers are changing the way we consume
N Vilkaite-Vaitone - Sustainability, 2024 - mdpi.com
Social media has become an integral part of our daily lives. Influencers have emerged as
significant players in promoting sustainable consumption in recent years. With their reach …
significant players in promoting sustainable consumption in recent years. With their reach …
[HTML][HTML] Social network emotional marketing influence model of consumers' purchase behavior
S Bin - Sustainability, 2023 - mdpi.com
With the deepening application of Internet technology, social network emotional marketing
has become a new way of sustainability marketing. However, most of the existing emotional …
has become a new way of sustainability marketing. However, most of the existing emotional …
[HTML][HTML] A time-sensitive network scheduling algorithm based on improved ant colony optimization
Y Wang, J Chen, W Ning, H Yu, S Lin, Z Wang… - Alexandria Engineering …, 2021 - Elsevier
Cyber-physical system (CPS) is the core technology of Industry 4.0. The deterministic
behaviors of the CPS require real-time deterministic guarantee. Therefore, this paper …
behaviors of the CPS require real-time deterministic guarantee. Therefore, this paper …
Influence maximization algorithm based on reverse reachable set
Most of the existing influence maximization algorithms are not suitable for large‐scale social
networks due to their high time complexity or limited influence propagation range. Therefore …
networks due to their high time complexity or limited influence propagation range. Therefore …
Opinion leaders' detection in dynamic social networks
W Oueslati, SA Arrami, Z Dhouioui… - Concurrency and …, 2021 - Wiley Online Library
Social media networks have revolutionized the way users interact and express their opinion.
Obviously, identifying opinion leaders has a widespread applicability. For instance, by …
Obviously, identifying opinion leaders has a widespread applicability. For instance, by …
[PDF][PDF] A multi-objective flexible job-shop scheduling model based on fuzzy theory and immune genetic algorithm
DL Shi, BB Zhang, Y Li - International Journal of Simulation Modelling, 2020 - ijsimm.com
This paper explores flexible job-shop scheduling problem (FJSP), using the rolling window
rescheduling strategy. The fuzzy delivery time was considered, which satisfies the …
rescheduling strategy. The fuzzy delivery time was considered, which satisfies the …