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Modeling the social influence of COVID-19 via personalized propagation with deep learning
Social influence prediction has permeated many domains, including marketing, behavior prediction, recommendation systems, and more. However,...
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CIPF: Identifying fake profiles on social media using a CNN-based communal influence propagation framework
Social media has a profound impact on the formation of end-users’ social, economic, and political views. Unfortunately, some advertisement agencies...
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A label propagation community discovery algorithm combining seed node influence and neighborhood similarity
To address the problem of poor stability and low accuracy of community division caused by the randomness in the traditional label propagation...
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Incremental Recommendation Algorithm Based on the Influence Propagation Model
Recently, Graph based recommendation algorithms have gained more and more attention due to their flexible and unified embedding representation of...
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Knowledge-Rich Influence Propagation Recommendation Algorithm Based on Graph Attention Networks
One of the biggest challenges in Recommendation Algorithms (RA) is how to obtain user and item embeddings from sparse interaction history. To take...
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Time-sensitive propagation values discount centrality measure
The detection of influential individuals in social networks is called influence maximization which has many applications in advertising and...
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CLUS-BET: improving influence propagation and classification in networks using a novel seed selection technique
Theories to maximise influence in social networks have been investigated vastly by researchers in recent times. Various strategies have been proposed...
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Local Neighbor Propagation Embedding
Manifold learning occupies a vital role in the field of nonlinear dimensionality reduction and serves many relevant methods. Typical linear embedding...
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Modeling and Analysis of Rumor Propagation Dynamics in Social Media
Exploring the nature of rumor propagation in social media is of great importance to mitigate the adverse effects of rumors and prevent rumor...
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A study on the propagation of online public opinion by internet water army
In the dissemination of information on the internet, internet water armies have gradually become an important influencing factor in the direction of...
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Multi-affect(ed): improving recommendation with similarity-enhanced user reliability and influence propagation
Traditional recommendation algorithms predict the latent interest of an active user by collecting rating information from other similar users or...
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Detection on early dynamic rumor influence and propagation using biogeography-based optimization with deep learning approaches
The far and wide distribution of innumerable rumors and fake news have been a serious threat to the truthfulness of microblogs. The earlier works...
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Fairness-aware fake news mitigation using counter information propagation
Given the adverse impact of fake news propagation on Social media, fake news mitigation has been one of the main research directions. However,...
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Integrated self-supervised label propagation for label imbalanced sets
Label propagation is an essential graph-based semi-supervised learning algorithm. However, the algorithm has two problems: how to effectively measure...
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Simulation of the Propagation of Rotating Laguerre–Gaussian Beams in an Imaging System with an Obstacle
AbstractTwo imaging systems are considered in this paper: a system with a lens containing an obstacle in the front focal area of the lens, and a...
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Graph Clustering Through Users’ Properties and Social Influence
Clustering is a basic technology in data mining, and similarity measurement plays a crucial role in it. The existing clustering algorithms,...
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Fractional-order rumor propagation model with memory effect
The harm of online rumor cannot be ignored, and the research on its spreading mechanism is the core issue of rumor governance. People’s judgment on...
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Causal-Inspired Influence Maximization in Hypergraphs Under Temporal Constraints
Influence Maximization is a significant problem aimed to find a set of seed nodes to maximize the spread of given events in social networks. Previous...
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A Heterogeneous Propagation Graph Model for Rumor Detection Under the Relationship Among Multiple Propagation Subtrees
Pervasive rumors in social networks have significantly harmed society due to their seditious and misleading effects. Existing rumor detection studies...
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A social-aware video sharing solution using demand prediction of epidemic-based propagation in wireless networks
The video services that account for the majority of global network traffic consume significant amounts of electricity and network resources to meet...
