Triad link prediction method based on the evolutionary analysis with IoT in opportunistic social networks
F Gou, J Wu - Computer Communications, 2022 - Elsevier
The data volume of various smart devices has exploded with the advent of the 5G
communication era and the rapid development of Internet of Things technology. A large …
communication era and the rapid development of Internet of Things technology. A large …
A two-stage VIKOR assisted multi-operator differential evolution approach for Influence Maximization in social networks
The impact of online social networking on daily life is extending beyond personal
boundaries, becoming a tool for financial activities and even public well-being. Interactions …
boundaries, becoming a tool for financial activities and even public well-being. Interactions …
Adjusting learning depth in nonnegative latent factorization of tensors for accurately modeling temporal patterns in dynamic QoS data
A nonnegative latent factorization of tensors (NLFT) model precisely represents the temporal
patterns hidden in multichannel data emerging from various applications. It often adopts a …
patterns hidden in multichannel data emerging from various applications. It often adopts a …
Latent personality traits assessment from social network activity using contextual language embedding
PK KN, ML Gavrilova - IEEE Transactions on Computational …, 2021 - ieeexplore.ieee.org
Recognizing author identity from digital footprints without having a large corpus of
documents from an individual is of keen interest to security researchers and government …
documents from an individual is of keen interest to security researchers and government …
An adaptive divergence-based non-negative latent factor model
A High-dimensional and incomplete (HDI) matrix is regularly adopted to portray the inherent
non-negativity of interactions among numerous nodes, which is involved in countless …
non-negativity of interactions among numerous nodes, which is involved in countless …
Pseudo Gradient-Adjusted Particle Swarm Optimization for Accurate Adaptive Latent Factor Analysis
A latent factor analysis (LFA) model can be efficiently built via the stochastic gradient
descent (SGD) algorithm to address high-dimensional and incomplete (HDI) data generated …
descent (SGD) algorithm to address high-dimensional and incomplete (HDI) data generated …
Analyzing the stock volatility spillovers in Chinese financial and economic sectors
By regarding the Chinese financial and economic sectors as a system, this article studies the
stock volatility spillover in the system and explores its effects on the overall performance of …
stock volatility spillover in the system and explores its effects on the overall performance of …
Trip purposes mining from mobile signaling data
With the widespread application of mobile phones, it has become possible to study human
mobility and travel behaviors based on cellular network data. Contrary to call detail records …
mobility and travel behaviors based on cellular network data. Contrary to call detail records …
Quantum-Social Network Analysis for Community Detection: A Comprehensive Review
The dynamics and underlying structure of complex social networks (SNs) can be discovered
using community detection. Considering how quantum computing might improve community …
using community detection. Considering how quantum computing might improve community …
Dual-population social group optimization algorithm based on human social group behavior law
C Wang, X Zhang, Y Niu, S Gao, J Jiang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Inspired by the behavior law of human social groups, a new swarm intelligence algorithm
named the dual-population social group optimization (DPSGO) algorithm is proposed in this …
named the dual-population social group optimization (DPSGO) algorithm is proposed in this …