Discovery of associated consumer demands: Construction of a co-demanded product network with community detection

J Wu, Y Wang, S Shafiee, D Zhang - Expert Systems with Applications, 2021 - Elsevier
Some consumers have various product demands that are associated with each other.
Although there are methods for discovering the associations among co-purchased products …

Overlapping community detection using multiobjective genetic algorithm

A Kumar, D Barman, R Sarkar… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Community detection or identification problem has emerged as an important task in the field
of network analysis. The problem becomes more challenging when the communities overlap …

Sparse stacked autoencoder network for complex system monitoring with industrial applications

Z Deng, Y Li, H Zhu, K Huang, Z Tang, Z Wang - Chaos, Solitons & Fractals, 2020 - Elsevier
Modern industrial systems are increasingly complex with the development of technology and
equipment. Due to the variation of process loads and other factors, many processes often …

Extraction and analysis of brain functional statuses for early mild cognitive impairment using variational auto-encoder

Z Jiao, Y Ji, P Gao, SH Wang - Journal of Ambient Intelligence and …, 2023 - Springer
Abstract Deep Auto-Encoders (DAE) have been widely used in dimensionality reduction and
feature extraction of brain functional networks. However, the features in aggregation …

Identifying the leaders and main conspirators of the attacks in terrorist networks

AK Rai, S Kumar - ETRI Journal, 2022 - Wiley Online Library
This study proposes a novel method for identifying the primary conspirators involved in
terrorist activities. To map the information related to terrorist activities, we gathered …

Stability and bifurcation analysis for a nitrogen-fixing evolutionary game with environmental feedback and discrete delays

H Cheng, X Meng, T Hayat, A Hobiny… - International Journal of …, 2022 - World Scientific
In this paper, a nitrogen fixation game system with two time delays under nitrogen limitation
is investigated. Firstly, we discuss the existence and local stability of the equilibrium points …

Controlling segregation in social network dynamics as an edge formation game

R Luo, B Nettasinghe… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
This paper studies controlling segregation in social networks via exogenous incentives. We
construct an edge formation game on a directed graph. A user (node) chooses the …

Local graph clustering with network lasso

A Jung, Y SarcheshmehPour - IEEE Signal Processing Letters, 2020 - ieeexplore.ieee.org
We study the statistical and computational properties of a network Lasso method for local
graph clustering. The clusters delivered by nLasso can be characterized elegantly via …

The evolving network model with community size and distance preferences

H Chen, B Chen, C Ai, M Zhu, X Qiu - Physica A: Statistical Mechanics and …, 2022 - Elsevier
With the development of network models, the importance of community structure had caught
much attention. How can the community size and the community distance affect the network …

A Trustworthiness Evaluation Mechanism Based On Principles-Assumptions Model

LI Xuefei, LI Ru - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
With the development of 5G networks, quantum networks, Internet of Things, and smart
cities, network information security and trust appear new challenges. False messages …