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Exploring Spillover Effects for COVID-19 Cascade Prediction [PDF]
Entropy, 2022 An information outbreak occurs on social media along with the COVID-19 pandemic and leads to an infodemic. Predicting the popularity of online content, known as cascade prediction, allows for not only catching in advance information that deserves ...
Ninghan Chen +3 more
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Can Cascades be Predicted? [PDF]
Proceedings of the 23rd international conference on World wide web, 2014 On many social networking web sites such as Facebook and Twitter, resharing or reposting functionality allows users to share others' content with their own friends or followers.
Adamic, Lada A. +4 more
core +4 more sources
Information Cascades Prediction With Graph Attention [PDF]
Frontiers in Physics, 2021 The cascades prediction aims to predict the possible information diffusion path in the future based on cascades of the social network. Recently, the existing researches based on deep learning have achieved remarkable results, which indicates the great ...
Zhihao Chen +13 more
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Structural-topic aware deep neural networks for information cascade prediction [PDF]
PeerJ Computer ScienceIt is critical to accurately predict the future popularity of information cascades for many related applications, such as online opinion warning or academic influence evaluation. Despite many efforts devoted to developing effective prediction approaches,
Bangzhu Zhou, Xiaodong Feng, Hemin Feng
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Toward Order-of-Magnitude Cascade Prediction [PDF]
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015, 2015 When a piece of information (microblog, photograph, video, link, etc.) starts to spread in a social network, an important question arises: will it spread to "viral" proportions -- where "viral" is defined as an order-of-magnitude increase.
Bhatnagar, Abhinav +3 more
core +2 more sources
Postmortem Analysis of Decayed Online Social Communities: Cascade Pattern Analysis and Prediction
Complexity, 2018 Recently, many online social networks, such as MySpace, Orkut, and Friendster, have faced inactivity decay of their members, which contributed to the collapse of these networks.
Mohammed Abufouda
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Fusing temporal and structural information via subgraph sampling and multi-head attention for information cascade prediction [PDF]
Scientific ReportsThe rapid expansion of online social networks has led to explosive growth of information cascades, necessitating effective prediction methods for both research and industry.
Jie Wang +4 more
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Cascade recurring deep networks for audible range prediction
BMC Medical Informatics and Decision Making, 2017 Background Hearing Aids amplify sounds at certain frequencies to help patients, who have hearing loss, to improve the quality of life. Variables affecting hearing improvement include the characteristics of the patients’ hearing loss, the characteristics ...
Yonghyun Nam +4 more
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Predicting the Popularity of Information on Social Platforms without Underlying Network Structure
Entropy, 2023 The ability to predict the size of information cascades in online social networks is crucial for various applications, including decision-making and viral marketing.
Leilei Wu +3 more
doaj +1 more source
Royal Society Open Science, 2021 Predicting information cascade plays a crucial role in various applications such as advertising campaigns, emergency management and infodemic controlling. However, predicting the scale of an information cascade in the long-term could be difficult.
Ren-Meng Cao, Xiao Fan Liu, Xiao-Ke Xu
doaj +1 more source