A survey on game theoretic models for community detection in social networks
A Jonnalagadda, L Kuppusamy - Social Network Analysis and Mining, 2016 - Springer
Community detection in social networks has received much attention from the researchers of
multiple disciplines due to its impactful applications such as recommendation systems, link …
multiple disciplines due to its impactful applications such as recommendation systems, link …
Optimal design of fault tolerant sensor networks
G Hoblos, M Staroswiecki… - Proceedings of the 2000 …, 2000 - ieeexplore.ieee.org
The selection of measurements is one of the most important problems in the design of
process instrumentation. This paper deals with the design of sensor networks such that the …
process instrumentation. This paper deals with the design of sensor networks such that the …
GLEAM: A graph clustering framework based on potential game optimization for large-scale social networks
With the growing explosion of online social networks, the study of large-scale graph
clustering has attracted considerable interest. Most of traditional methods view the graph …
clustering has attracted considerable interest. Most of traditional methods view the graph …
An approach for overlapping and hierarchical community detection in social networks based on coalition formation game theory
L Zhou, K Lü, P Yang, L Wang, B Kong - Expert Systems with Applications, 2015 - Elsevier
With greater availability of data and increasing interaction activities taking place on social
media, detecting overlapping and hierarchical communities has become an important issue …
media, detecting overlapping and hierarchical communities has become an important issue …
A comprehensive survey on community detection methods and applications in complex information networks
A Diboune, H Slimani, H Nacer… - Social Network Analysis …, 2024 - Springer
This paper extensively reviews the literature of community detection in complex networks
and proposes a general classification describing the main models used for this purpose …
and proposes a general classification describing the main models used for this purpose …
A four-stage algorithm for community detection based on label propagation and game theory in social networks
Over the years, detecting stable communities in a complex network has been a major
challenge in network science. The global and local structures help to detect communities …
challenge in network science. The global and local structures help to detect communities …
A parallel self-organizing overlapping community detection algorithm based on swarm intelligence for large scale complex networks
Community detection is a critical task for complex network analysis. It helps us to understand
the properties of the system that a complex network represents and has significance to a …
the properties of the system that a complex network represents and has significance to a …
A Hybrid Approach to Detect Researchers' Communities Based on Deep Learning and Game Theory
Today, with the proliferation of complex networks and their large amounts of data,
researchers have great concerns about the accurate community detection methods. The …
researchers have great concerns about the accurate community detection methods. The …
[PDF][PDF] An Integrated Production-distribution Problem of Perishable Items with Dynamic Pricing Consideration in a Three-echelon Supply Chain
BY Yegane - International Journal of Engineering, 2023 - ije.ir
The importance of employing appropriate pricing strategies for perishable products within
the supply chain cannot be overstated. Pricing is a cross-functional driver of each supply …
the supply chain cannot be overstated. Pricing is a cross-functional driver of each supply …
Twitter hashtag recommendation using matrix factorization
H Alvari - arXiv preprint arXiv:1705.10453, 2017 - arxiv.org
Twitter, one of the biggest and most popular microblogging Websites, has evolved into a
powerful communication platform which allows millions of active users to generate huge …
powerful communication platform which allows millions of active users to generate huge …