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 …

Multiple social platforms reveal actionable signals for software vulnerability awareness: A study of GitHub, Twitter and Reddit

P Shrestha, A Sathanur, S Maharjan, E Saldanha… - Plos one, 2020 - journals.plos.org
The awareness about software vulnerabilities is crucial to ensure effective cybersecurity
practices, the development of high-quality software, and, ultimately, national security. This …

Fundamental limitations on efficiently forecasting certain epidemic measures in network models

DJ Rosenkrantz, A Vullikanti, SS Ravi… - Proceedings of the …, 2022 - National Acad Sciences
The ongoing COVID-19 pandemic underscores the importance of developing reliable
forecasts that would allow decision makers to devise appropriate response strategies …

[HTML][HTML] A Survey of Deep Learning-Based Information Cascade Prediction

Z Wang, X Wang, F Xiong, H Chen - Symmetry, 2024 - mdpi.com
Online social media have significantly boosted the creation and transmission of information,
accelerating the dissemination and interaction of vast amounts of data, thereby making the …

How opinion distortion appears in super-influencer dominated social network

J Wei, F Meng - Future Generation Computer Systems, 2021 - Elsevier
Social network platforms are rather popular nowadays. Since everyone can express their
opinions on social platforms without a gatekeeper, opinion bias, polarization, and distortion …

Characterizing speed and scale of cryptocurrency discussion spread on reddit

M Glenski, E Saldanha, S Volkova - The World Wide Web Conference, 2019 - dl.acm.org
Cryptocurrencies are a novel and disruptive technology that has prompted a new approach
to how currencies work in the modern economy. As such, online discussions related to …

Multi-Net: A Scalable Multiplex Network Embedding Framework

A Bagavathi, S Krishnan - Complex Networks and Their Applications VII …, 2019 - Springer
Abstract Representation learning of networks has witnessed significant progress in recent
times. Such representations have been effectively used for classic network-based machine …

Examining untempered social media: analyzing cascades of polarized conversations

A Bagavathi, P Bashiri, S Reid, M Phillips… - Proceedings of the 2019 …, 2019 - dl.acm.org
Online social media, periodically serves as a platform for cascading polarizing topics of
conversation. The inherent community structure present in online social networks …

Online discussion threads as conversation pools: predicting the growth of discussion threads on reddit

S Horawalavithana, N Choudhury, J Skvoretz… - Computational and …, 2022 - Springer
This paper proposes a data-driven method that forecasts groups of topic-related,
overlapping, online conversation trees. Our method is generative: given a group of original …

Phans, Stans and Cishets: self-presentation effects on content propagation in Tumblr

MM Yoder, Q Shen, Y Wang, A Coda, Y Jang… - Proceedings of the 12th …, 2020 - dl.acm.org
Research on content propagation in social media has largely focused on features from the
content of posts and the network structure of users. However, social media platforms are …