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 …

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 …

GLEAM: A graph clustering framework based on potential game optimization for large-scale social networks

Z Bu, J Cao, HJ Li, G Gao, H Tao - Knowledge and Information Systems, 2018 - Springer
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 …

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 …

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 …

A four-stage algorithm for community detection based on label propagation and game theory in social networks

A Torkaman, K Badie, A Salajegheh, MH Bokaei… - AI, 2023 - mdpi.com
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 …

A parallel self-organizing overlapping community detection algorithm based on swarm intelligence for large scale complex networks

H Sun, W Jie, J Loo, L Wang, S Ma, G Han… - Future Generation …, 2018 - Elsevier
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 …

A Hybrid Approach to Detect Researchers' Communities Based on Deep Learning and Game Theory

A Torkaman, K Badie, A Salajegheh, MH Bokaei… - International Journal of …, 2023 - ije.ir
Today, with the proliferation of complex networks and their large amounts of data,
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 …

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 …