Complex networks as a unified framework for descriptive analysis and predictive modeling in climate science

DOI10.1002/SAM.10100OpenAlexW2113988163WikidataQ57568226 ScholiaQ57568226MaRDI QIDQ4969803

Auroop R. Ganguly, Nitesh V. Chawla, Karsten Steinhaeuser

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/sam.10100

zbMATH Keywords

network analysiscommunity detectioncomplex networksclimate datamultivariate predictive modeling

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Related Items (4)

New exploratory tools for extremal dependence: \(\chi \) networks and annual extremal networks ⋮ A graph‐based approach to find teleconnections in climate data ⋮ Sparse inverse kernel Gaussian Process regression ⋮ A Gaussian graphical model approach to climate networks

Uses Software

• GenLouvain
• Algorithm 97

Cites Work

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• Community Structure in Time-Dependent, Multiscale, and Multiplex Networks
• Computing Communities in Large Networks Using Random Walks
• Collective dynamics of ‘small-world’ networks
• The worldwide air transportation network: Anomalous centrality, community structure, and cities' global roles

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