Search Results for author:
Found 7 papers, 6 papers with code
DANI: Fast Diffusion Aware Network Inference with Preserving Topological Structure Property
In this paper, we propose a novel method called DANI to infer the underlying network while preserving its structural properties.
FNR: a similarity and transformer-based approach to detect multi-modal fake news in social media
In this paper, we propose a novel and efficient similarity and transformer-based detection algorithm called Fake News Revealer (FNR), which uses text and images of news to detect fake news.
FNR: A Similarity and Transformer-Based Approachto Detect Multi-Modal FakeNews in Social Media
The availability and interactive nature of social media have made them the primary source of news around the globe.
Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization
Therefore, the problem of missing data is a crucial and unavoidable issue in the analysis and modeling of real-world social networks.
News Labeling as Early as Possible: Real or Fake?
Therefore, one of the challenging tasks in this area is to identify fake and real news in early stages of propagation.
Community detection using diffusion information
Community detection in social networks has become a popular topic of research during the last decade.
Inferring dynamic diffusion networks in online media
In this article, we investigate the diffusion network extraction (DNE) problem when the underlying network is dynamic and latent.
