Tracking the Evolution of Clusters in Social Media Streams

Author:

Anwar Tarique1ORCID,Nepal Surya2ORCID,Paris Cecile2,Yang Jian3ORCID,Wu Jia3ORCID,Sheng Quan Z.3ORCID

Affiliation:

1. University of York, York, U.K.

2. CSIRO's Data61, Marsfield, NSW, Australia

3. Macquarie University, Sydney, NSW, Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Information Systems

Reference34 articles.

1. Clustering of Multiple Density Peaks

2. Online k-means clustering;cohen-addad;Proc 24th Int Conf Artif Intell Statist,2021

3. Cluster ensembles – a knowledge reuse framework for combining multiple partitions;strehl;J Mach Learn Res,2002

4. DBSCAN Revisited

5. An efficient data clustering method for very large databases;tian;Proc ACM SIGMOD Int Conf Manage Data,1996

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1. Benchmarking Sentence Embeddings in Textual Stream Clustering with Applications to Campaign Detection;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. FROST: Controlled Label Propagation for Multisource Detection;IEEE Transactions on Computational Social Systems;2024

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