A survey of information cascade analysis: Models, predictions, and recent advances

F Zhou, X Xu, G Trajcevski, K Zhang - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
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 …

Deephawkes: Bridging the gap between prediction and understanding of information cascades

Q Cao, H Shen, K Cen, W Ouyang… - Proceedings of the 2017 …, 2017 - dl.acm.org
Online social media remarkably facilitates the production and delivery of information,
intensifying the competition among vast information for users' attention and highlighting the …

Information diffusion prediction via recurrent cascades convolution

X Chen, F Zhou, K Zhang, G Trajcevski… - 2019 IEEE 35th …, 2019 - ieeexplore.ieee.org
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 …

Hawkestopic: A joint model for network inference and topic modeling from text-based cascades

X He, T Rekatsinas, J Foulds… - … on machine learning, 2015 - proceedings.mlr.press
Understanding the diffusion of information in social network and social media requires
modeling the text diffusion process. In this work, we develop the HawkesTopic model (HTM) …

Rise and fall patterns of information diffusion: model and implications

Y Matsubara, Y Sakurai, BA Prakash, L Li… - Proceedings of the 18th …, 2012 - dl.acm.org
The recent explosion in the adoption of search engines and new media such as blogs and
Twitter have facilitated faster propagation of news and rumors. How quickly does a piece of …

[HTML][HTML] Searching for superspreaders of information in real-world social media

S Pei, L Muchnik, JS Andrade, Jr, Z Zheng… - Scientific reports, 2014 - nature.com
A number of predictors have been suggested to detect the most influential spreaders of
information in online social media across various domains such as Twitter or Facebook. In …

Information diffusion in online social networks: A survey

A Guille, H Hacid, C Favre, DA Zighed - ACM Sigmod Record, 2013 - dl.acm.org
Online social networks play a major role in the spread of information at very large scale. A lot
of effort have been made in order to understand this phenomenon, ranging from popular …

Expecting to be hip: Hawkes intensity processes for social media popularity

MA Rizoiu, L Xie, S Sanner, M Cebrian, H Yu… - Proceedings of the 26th …, 2017 - dl.acm.org
Modeling and predicting the popularity of online content is a significant problem for the
practice of information dissemination, advertising, and consumption. Recent work analyzing …

Feature driven and point process approaches for popularity prediction

S Mishra, MA Rizoiu, L Xie - Proceedings of the 25th ACM international …, 2016 - dl.acm.org
Predicting popularity, or the total volume of information outbreaks, is an important
subproblem for understanding collective behavior in networks. Each of the two main types of …

Comparing information diffusion mechanisms by matching on cascade size

JL Juul, J Ugander - … of the National Academy of Sciences, 2021 - National Acad Sciences
Do some types of information spread faster, broader, or further than others? To understand
how information diffusions differ, scholars compare structural properties of the paths taken …