A survey of information cascade analysis: Models, predictions, and recent advances
The deluge of digital information in our daily life—from user-generated content, such as
microblogs and scientific papers, to online business, such as viral marketing and advertising …
microblogs and scientific papers, to online business, such as viral marketing and advertising …
Fighting false information from propagation process: A survey
The recent serious cases of spreading false information have posed a significant threat to
the social stability and even national security, urgently requiring all circles to respond …
the social stability and even national security, urgently requiring all circles to respond …
Deephawkes: Bridging the gap between prediction and understanding of information cascades
Online social media remarkably facilitates the production and delivery of information,
intensifying the competition among vast information for users' attention and highlighting the …
intensifying the competition among vast information for users' attention and highlighting the …
Information diffusion prediction via recurrent cascades convolution
Effectively predicting the size of an information cascade is critical for many applications
spanning from identifying viral marketing and fake news to precise recommendation and …
spanning from identifying viral marketing and fake news to precise recommendation and …
Hawkes processes for events in social media
This chapter provides an accessible introduction for point processes, and especially Hawkes
processes, for modeling discrete, inter-dependent events over continuous time. We start by …
processes, for modeling discrete, inter-dependent events over continuous time. We start by …
Expecting to be hip: Hawkes intensity processes for social media popularity
Modeling and predicting the popularity of online content is a significant problem for the
practice of information dissemination, advertising, and consumption. Recent work analyzing …
practice of information dissemination, advertising, and consumption. Recent work analyzing …
Popularity prediction on social platforms with coupled graph neural networks
Predicting the popularity of online content on social platforms is an important task for both
researchers and practitioners. Previous methods mainly leverage demographics, temporal …
researchers and practitioners. Previous methods mainly leverage demographics, temporal …
SIR-Hawkes: Linking epidemic models and Hawkes processes to model diffusions in finite populations
Among the statistical tools for online information diffusion modeling, both epidemic models
and Hawkes point processes are popular choices. The former originate from epidemiology …
and Hawkes point processes are popular choices. The former originate from epidemiology …
Deep learning for video classification and captioning
Deep learning for video classification and captioning Page 1 IPART MULTIMEDIA
CONTENT ANALYSIS Page 2 Page 3 1Deep Learning for Video Classification and …
CONTENT ANALYSIS Page 2 Page 3 1Deep Learning for Video Classification and …
Explicit time embedding based cascade attention network for information popularity prediction
Predicting information cascade popularity is a fundamental problem in social networks.
Capturing temporal attributes and cascade role information (eg, cascade graphs and …
Capturing temporal attributes and cascade role information (eg, cascade graphs and …