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Concept drift detection on social network data using cross-recurrence quantification analysis

https://doi.org/10.1063/1.5024241
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/j.1538-7305.1948.tb01338.xopenalex-snapshot
A Mathematical Theory of Communication
inferredcites →https://doi.org/10.1007/bfb0091924openalex-snapshot
Detecting strange attractors in turbulence
inferredcites →https://doi.org/10.1016/0375-9601(92)90426-mopenalex-snapshot
Embeddings and delays as derived from quantification of recurrence plots
inferredcites →https://doi.org/10.1016/j.eswa.2016.04.026openalex-snapshot
Using dynamical systems tools to detect concept drift in data streams
inferredcites →https://doi.org/10.1016/j.eswa.2016.11.028openalex-snapshot
Applying a kernel function on time-dependent data to provide supervised-learning guarantees
inferredcites →https://doi.org/10.1016/j.physrep.2006.11.001openalex-snapshot
Recurrence plots for the analysis of complex systems
inferredcites →https://doi.org/10.1016/s0375-9601(98)00457-5openalex-snapshot
Detecting deterministic signals in exceptionally noisy environments using cross-recurrence quantification
inferredcites →https://doi.org/10.1088/1367-2630/11/9/093017openalex-snapshot
Cross recurrence quantification for cover song identification
inferredcites →https://doi.org/10.1103/physreva.33.1134openalex-snapshot
Independent coordinates for strange attractors from mutual information
inferredcites →https://doi.org/10.1103/physreva.45.3403openalex-snapshot
Determining embedding dimension for phase-space reconstruction using a geometrical construction
inferredcites →https://doi.org/10.1109/bracis.2017.37openalex-snapshot
Analyzing the Public Opinion on the Brazilian Political and Corruption Issues
inferredcites →https://doi.org/10.1109/tit.2004.838101openalex-snapshot
The Similarity Metric
inferredcites →https://doi.org/10.1145/2523813openalex-snapshot
A survey on concept drift adaptation
inferredcites →https://doi.org/10.1145/2808797.2808828openalex-snapshot
A Tempest in a Teacup? Analyzing Firestorms on Twitter
inferredcites →https://doi.org/10.1145/2808797.2809327openalex-snapshot
Tweet Sentiment
inferredcites →https://doi.org/10.1145/2808797.2809347openalex-snapshot
Mining Streaming Tweets for Real-Time Event Credibility Prediction in Twitter
inferredcites →https://doi.org/10.1145/2808797.2809350openalex-snapshot
Opinion Mining in Twitter How to Make Use of Sarcasm to Enhance Sentiment Analysis
inferredcites →https://doi.org/10.1145/2808797.2809389openalex-snapshot
Exploring a Scalable Solution to Identifying Events in Noisy Twitter Streams
inferredcites →https://doi.org/10.1145/3019612.3019811openalex-snapshot
TSViz
inferredcites →https://doi.org/10.1209/0295-5075/4/9/004openalex-snapshot
Recurrence Plots of Dynamical Systems
inferredcites →https://doi.org/10.2307/2346729openalex-snapshot
A Non-Parametric Approach to the Change-Point Problem

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3973311openalex-extracted
Abrupt Transition in Stock Prices Among China 's New Energy Vehicle Industry
inferred← citeshttps://doi.org/10.1007/978-3-030-61380-8_44openalex-snapshot
Quantifying Temporal Novelty in Social Networks Using Time-Varying Graphs and Concept Drift Detection
inferred← citeshttps://doi.org/10.1063/1.5050929openalex-snapshot
Introduction to focus issue: Recurrence quantification analysis for understanding complex systems
inferred← citeshttps://doi.org/10.1088/1742-6596/1824/1/012006openalex-snapshot
Impact of Randomization on Ensembles for Streams with Concept Drift
inferred← citeshttps://doi.org/10.1109/icac3n53548.2021.9725548openalex-snapshot
Concept Drift Detection for Social Media: A Survey
inferred← citeshttps://doi.org/10.1109/icmla58977.2023.00291openalex-snapshot
Event-driven Sentiment Drift Analysis in Text Streams: An Application in a Soccer Match
inferred← citeshttps://doi.org/10.1111/coin.12475openalex-snapshot
Dynamically adaptive and diverse dual ensemble learning approach for handling concept drift in data streams
inferred← citeshttps://doi.org/10.1145/3704922openalex-snapshot
Concept Drift Adaptation in Text Stream Mining Settings: A Systematic Review
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.