Network Distances for Weighted Digraphs

DOI10.1007/978-3-030-58657-7_31zbMath1458.90167OpenAlexW3084762520MaRDI QIDQ4965127

Ilaria Granata, Ichcha Manipur, Mario Rosario Guarracino, Lucia Maddalena

Publication date: 25 February 2021

Published in: Mathematical Optimization Theory and Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-58657-7_31

zbMATH Keywords

metabolic networksnetwork distancesnetwork simplification

Mathematics Subject Classification ID

Small world graphs, complex networks (graph-theoretic aspects) (05C82) Network design and communication in computer systems (68M10) Graph theory (including graph drawing) in computer science (68R10) Deterministic network models in operations research (90B10) Signed and weighted graphs (05C22)

Uses Software

• WEKA
• igraph
• RStudio
• KEGG
• profvis
• NetworkDistance
• DirectedClustering
• MetaboX

Cites Work

• Unnamed Item
• Network models in economics and finance
• A history of graph entropy measures
• Harmony in the small-world
• Tracking network dynamics: a survey using graph distances
• Fifty years of graph matching, network alignment and network comparison
• Managing and mining graph data
• Model simplification for supervised classification of metabolic networks
• A new metric for probability distributions
• On Network Similarities and Their Applications
• Encyclopedia of Distances

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