HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets
Author:
Affiliation:
1. Virginia Tech,Department of Computer Science,Falls Church,VA,USA,22043
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10020192/10020156/10020571.pdf?arnumber=10020571
Reference40 articles.
1. Learning with hypergraphs: Clustering, classification, and embedding;zhou;Advances in neural information processing systems,2006
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3. Improving Topic Models with Latent Feature Word Representations
4. COVID-19 Vaccine Hesitancy on Social Media: Building a Public Twitter Data Set of Antivaccine Content, Vaccine Misinformation, and Conspiracies
5. Community detection for hypergraph networks via regularized tensor power iteration;ke,2019
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