Spread of misinformation on social media: What contributes to it and how to combat it
With the prevalence and increasing impact of misinformation on social media, numerous
studies have explored the characteristics of misinformation. However, we lack a holistic …
studies have explored the characteristics of misinformation. However, we lack a holistic …
Minimizing the spread of misinformation in online social networks: A survey
A Zareie, R Sakellariou - Journal of Network and Computer Applications, 2021 - Elsevier
Online social networks provide an opportunity to spread messages and news fast and
widely. One may appreciate the quick spread of legitimate news and messages but …
widely. One may appreciate the quick spread of legitimate news and messages but …
A novel measure to identify influential nodes: return random walk gravity centrality
To identify influential nodes in real networks, it is essential to note the importance of
considering the local and global information in a network. In addition, it is also key to …
considering the local and global information in a network. In addition, it is also key to …
Identifying influential nodes in complex networks: Effective distance gravity model
The identification of important nodes in complex networks is an area of exciting growth due
to its applications across various disciplines like disease control, data mining and network …
to its applications across various disciplines like disease control, data mining and network …
Stability analysis and optimal control of rumor spreading model under media coverage considering time delay and pulse vaccination
Y Cheng, L Zhao - Chaos, Solitons & Fractals, 2022 - Elsevier
Abstract Information asymmetry often interferes with the public's judgment, creates
unnecessary suspicion, and leads to the wanton spread of rumors. Therefore, it is necessary …
unnecessary suspicion, and leads to the wanton spread of rumors. Therefore, it is necessary …
New trends in influence maximization models
The growing popularity of social networks is providing a promising opportunity for different
practical applications. The influence analysis is an essential technique supporting the …
practical applications. The influence analysis is an essential technique supporting the …
Modeling public opinion dissemination in a multilayer network with SEIR model based on real social networks
L Geng, S Yang, K Wang, Q Zhou, L Geng - Engineering Applications of …, 2023 - Elsevier
Due to the complexity of social relationships, Internet users are active in multiple social
networks and receive or release information in various ways and channels. Therefore, the …
networks and receive or release information in various ways and channels. Therefore, the …
Complex dynamic analysis of a reaction-diffusion network information propagation model with non-smooth control
X Ma, S Shen, L Zhu - Information Sciences, 2023 - Elsevier
Rumors do the social's perception seal, leaving people untouched with the true thing. Since
the harmfulness of rumors is well known, in order to cut off the net of rumors and make the …
the harmfulness of rumors is well known, in order to cut off the net of rumors and make the …
Lifecycle research of social media rumor refutation effectiveness based on machine learning and visualization technology
Z Li, X Du, Y Zhao, Y Tu, B Lev, L Gan - Information Processing & …, 2022 - Elsevier
Rumor refutation is a common method to control rumors to address potential risks. This
paper studies the social media rumor refutation effectiveness lifecycle (SMRREL), focusing …
paper studies the social media rumor refutation effectiveness lifecycle (SMRREL), focusing …
LFIC: Identifying influential nodes in complex networks by local fuzzy information centrality
The issue of mining influential nodes in complex networks is a topic of immense interest.
Recently, many methods have been proposed, but they suffer from certain limitations. In this …
Recently, many methods have been proposed, but they suffer from certain limitations. In this …