Defensive modeling of fake news through online social networks
Online social networks (OSNs) have become an integral mode of communication among
people and even nonhuman scenarios can also be integrated into OSNs. The evergrowing …
people and even nonhuman scenarios can also be integrated into OSNs. The evergrowing …
[HTML][HTML] The use of networks in spatial and temporal computational models for outbreak spread in epidemiology: A systematic review
L Pujante-Otalora, B Canovas-Segura… - Journal of Biomedical …, 2023 - Elsevier
Objectives To examine recent literature in order to present a comprehensive overview of the
current trends as regards the computational models used to represent the propagation of an …
current trends as regards the computational models used to represent the propagation of an …
Influence maximization in complex networks by using evolutionary deep reinforcement learning
Influence maximization (IM) in complex networks tries to activate a small subset of seed
nodes that could maximize the propagation of influence. The studies on IM have attracted …
nodes that could maximize the propagation of influence. The studies on IM have attracted …
The coevolution of the spread of a disease and competing opinions in multiplex networks
F Fang, J Ma, Y Li - Chaos, Solitons & Fractals, 2023 - Elsevier
The COVID-19 pandemic has resulted in a proliferation of conflicting opinions on physical
distancing across various media platforms, which has had a significant impact on human …
distancing across various media platforms, which has had a significant impact on human …
Rumor diffusion model based on representation learning and anti-rumor
Y Xiao, Q Yang, C Sang, Y Liu - IEEE Transactions on Network …, 2020 - ieeexplore.ieee.org
The traditional rumor diffusion model primarily studies the rumor itself and user behavior as
the entry points. The complexity of user behavior, multidimensionality of the communication …
the entry points. The complexity of user behavior, multidimensionality of the communication …
A network-based stochastic epidemic simulator: Controlling covid-19 with region-specific policies
In this work, we present an open-source stochastic epidemic simulator calibrated with extant
epidemic experience of COVID-19. The simulator models a country as a network …
epidemic experience of COVID-19. The simulator models a country as a network …
Social interaction and information diffusion in social Internet of Things: Dynamics, cloud-edge, traceability
Social Internet of Things (SIoT), integrating the social networks and Internet of Things (IoT),
leads to heterogeneous interactions of thing to thing, human to human, and human to thing …
leads to heterogeneous interactions of thing to thing, human to human, and human to thing …
A rumor & anti-rumor propagation model based on data enhancement and evolutionary game
In social topics, the study of rumor propagation mechanisms is essential to master social
behavior. In this paper, aiming to explore the adversarial game relationship between rumor …
behavior. In this paper, aiming to explore the adversarial game relationship between rumor …
Spreading mosaic: an image restoration-inspired social rumor propagation model
Y Xiao, X Li, Q Zhang, R Lv, Q Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article draws inspiration from deep learning image restoration technology. If users
involved in the rumor topic are regarded as pixels in an image, the uncertainty of user …
involved in the rumor topic are regarded as pixels in an image, the uncertainty of user …
Threshold estimation models for linear threshold-based influential user mining in social networks
Influence Maximization (IM) is a popular social network mining mechanism that mines
influential users for viral marketing in social networks. Most of the Influence Maximization …
influential users for viral marketing in social networks. Most of the Influence Maximization …