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Deep Learning for Social Network Information Cascade Analysis: a survey
International Conference on Data Science in Cyberspace, 2020The phenomenon of information dissemination in social networks is widespread, and Social Network Information Cascade Analysis (SNICA) aims to acquire valuable knowledge in the process of information dissemination in social networks. As the number, volume,
Li-Qun Gao +7 more
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Information cascade at group scale
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, 2013Identifying the k most influential individuals in a social network is a well-studied problem. The objective is to detect k individuals in a (social) network who will influence the maximum number of people, if they are independently convinced of adopting a new strategy (product, idea, etc).
Milad Eftekhar, Y. Ganjali, N. Koudas
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Ultrametricity of Information Cascades
SSRN Electronic Journal, 2013Whether it is the inter-arrival time between two consecutive votes on a story on Reddit or the comments on a video shared on Youtube, there is always a hierarchy of time scales in information propagation. One vote/comment might occur almost simultaneously with the previous, whereas another vote/comment might occur hours after the preceding one.
Rumi Ghosh, Bernardo A. Huberman
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Information Manager (The), 2017
The proliferation of the Internet and online communities has greatly increased the number and transmission speed of online rumors. To take more effective measures to counter the negative effects of these rumors, researchers and companies should ...
Quansheng Wang, Xue Yang, Wanyu Xi
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The proliferation of the Internet and online communities has greatly increased the number and transmission speed of online rumors. To take more effective measures to counter the negative effects of these rumors, researchers and companies should ...
Quansheng Wang, Xue Yang, Wanyu Xi
semanticscholar +1 more source
Information Cascade Popularity Prediction via Probabilistic Diffusion
IEEE Transactions on Knowledge and Data EngineeringInformation cascade popularity prediction is an important problem in social network content diffusion analysis. Various facets have been investigated (e.g., diffusion structures and patterns, user influence) and, recently, deep learning models based on ...
Zhangtao Cheng +6 more
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Causality-based Big Data Analysis of Information Cascade in Communication Networks
Global Communications ConferenceThe phenomenon of information cascades in communication networks has been widely studied, with earlier research primarily using statistical models for analysis. Recently, machine learning methods combined with big data analysis have proven to be powerful
Yu-Ming Han +3 more
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On the Convergence of Informational Cascades
Journal of Economic Theory, 1993zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Informational cascades in IT adoption
Communications of the ACM, 2004Before adopting new systems and procedures, IT managers should ensure they are not unwittingly following the herd.
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Cascade Speculative Drafting for Even Faster LLM Inference
Neural Information Processing Systems, 2023Introduced to enhance the efficiency of large language model (LLM) inference, speculative decoding operates by having a smaller model generate a draft.
Zi-Yi Chen +5 more
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CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction
IEEE Transactions on Knowledge and Data Engineering, 2023Understanding in-network information diffusion is a fundamental problem in many applications and one of the primary challenges is to predict the information cascade size.
Xovee Xu +4 more
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