Modeling of growing networks with directional attachment and communities

DOI10.1016/J.NEUNET.2004.01.005zbMath1068.68167DBLPjournals/nn/KimuraSU04OpenAlexW2153047491WikidataQ51991729 ScholiaQ51991729MaRDI QIDQ1886594

Kazumi Saito, Masahiro Kimura, Naonori Ueda

Publication date: 18 November 2004

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2004.01.005

zbMATH Keywords

LearningPredictionWeb dynamicsCommunitiesNetwork growth modelsScale-free models

Mathematics Subject Classification ID

Network design and communication in computer systems (68M10)

Related Items (2)

Modeling share dynamics by extracting competition structure ⋮ A two-layer team-assembly model for invention networks

Cites Work

• Unnamed Item
• Statistical mechanics of complex networks
• Emergence of Scaling in Random Networks
• Winners don't take all: Characterizing the competition for links on the web
• Community structure in social and biological networks
• Exploring complex networks

This page was built for publication: Modeling of growing networks with directional attachment and communities