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Posts tagged #TemporalNetworks

Spectral Clustering for Evolving Networks Using the Supra‑Laplacian

Spectral Clustering for Evolving Networks Using the Supra‑Laplacian

A supra‑Laplacian framework for clustering evolving networks, in the Julia package TemporalNetworks.jl, outperforms Leiden on US Senate voting data. getnews.me/spectral-clustering-for-... #supralaplacian #temporalnetworks

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Multiresolution Analysis and Statistical Thresholding on Dynamic Networks Detecting structural change in dynamic network data has wide-ranging applications. Existing approaches typically divide the data into time bins, extract network features within each bin, and then comp...

📄 Preprint available:
 arxiv.org/abs/2506.01208

Joint work with @tijldebie.bsky.social @nickheard @alexandermodell
#TemporalNetworks #DynamicGraphs #NetworkScience #ChangeDetection #Cybersecurity #SignalProcessing #Wavelets #StatisticalLearning #TimeSeries #GraphML

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Multiresolution Analysis and Statistical Thresholding on Dynamic Networks Detecting structural change in dynamic network data has wide-ranging applications. Existing approaches typically divide the data into time bins, extract network features within each bin, and then comp...

📄 Full preprint available:
arxiv.org/abs/2506.01208

Joint work with @tijldebie.bsky.social @alexandermodell @nickheard
#TemporalNetworks #DynamicGraphs #NetworkScience #ChangeDetection #Cybersecurity #SignalProcessing #Wavelets #StatisticalLearning #TimeSeries #GraphML

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Multiresolution Analysis and Statistical Thresholding on Dynamic Networks Detecting structural change in dynamic network data has wide-ranging applications. Existing approaches typically divide the data into time bins, extract network features within each bin, and then comp...

📄 Link to the full preprint:
arxiv.org/abs/2506.01208

Joint work with @tijldebie.bsky.social @alexandermodell @nickheard
#TemporalNetworks #DynamicGraphs #NetworkScience #ChangeDetection #Cybersecurity #SignalProcessing #Wavelets #StatisticalLearning #TimeSeries #GraphML

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TENET@Netsci25 Temporal networks are powerful models for understanding dynamical systems where entities and interactions appear and vanish as time goes by. Unlike static networks, which simply provide a snapshot of ...

🚀 The TENET @ @netsciconf.bsky.social program is live!
Talks, posters & discussions all about temporal networks—don’t miss it!

🗓 Full program: sites.google.com/view/tenet-n...

#NetSci2025 #TENET #TemporalNetworks #ComplexSystems #NetworkScience

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#TimeSeriesAnalysis for #TemporalNetworks

Based on the abstract and inspection of figures, the impact of this work will be huge!

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