Hierarchical attention neural network for information cascade prediction
Online social networking platforms have drastically facilitated the phenomenon of
information cascades, making cascade prediction an important task for both researchers and …
information cascades, making cascade prediction an important task for both researchers and …
HeDAN: Heterogeneous diffusion attention network for popularity prediction of online content
Popularity prediction of online content over social media platforms is a valuable and
challenging issue, the core of which lies in how to capture predictive factors from available …
challenging issue, the core of which lies in how to capture predictive factors from available …
Unifying multimodal interactions for rumor diffusion prediction with global hypergraph modeling
A central issue in rumor surveillance and management is decoding the complex dynamics of
rumor propagation, with an emphasis on predicting diffusion cascades. Recent studies focus …
rumor propagation, with an emphasis on predicting diffusion cascades. Recent studies focus …
Multiscale information diffusion prediction with minimal substitution neural network
Information diffusion prediction is a complex task due to the dynamic of information
substitution present in large social platforms, such as Weibo and Twitter. This task can be …
substitution present in large social platforms, such as Weibo and Twitter. This task can be …
Predicting information diffusion via deep temporal convolutional networks
Abstract Information cascade diffusion is ubiquitous in modern social medias and other
fields, such as viral marketing, paper citation dynamics, and public opinion communication …
fields, such as viral marketing, paper citation dynamics, and public opinion communication …
Rumor localization, detection and prediction in social network
With the global epidemic of the COVID-19, various rumors spread wantonly on social
networks, which has seriously affected the stability and harmony of the entire society. To …
networks, which has seriously affected the stability and harmony of the entire society. To …
Modeling information diffusion with sequential interactive hypergraphs
In online social networks, numerous users generate and distribute tremendous content
simultaneously, and how information spreads in online society has attracted critical …
simultaneously, and how information spreads in online society has attracted critical …
Predicting information diffusion using the inter-and intra-path of influence transitivity
Predicting information diffusion helps grasp the overall preference of user interactions,
facilitating applications such as public opinion analysis and online marketing. Existing …
facilitating applications such as public opinion analysis and online marketing. Existing …
Casgcn: Predicting future cascade growth based on information diffusion graph
Sudden bursts of information cascades can lead to unexpected consequences such as
extreme opinions, changes in fashion trends, and uncontrollable spread of rumors. It has …
extreme opinions, changes in fashion trends, and uncontrollable spread of rumors. It has …
Popularity prediction of online contents via cascade graph and temporal information
Y Shang, B Zhou, Y Wang, A Li, K Chen, Y Song, C Lin - Axioms, 2021 - mdpi.com
Predicting the popularity of online content is an important task for content recommendation,
social influence prediction and so on. Recent deep learning models generally utilize graph …
social influence prediction and so on. Recent deep learning models generally utilize graph …