Predicting unobserved links in incompletely observed networks

DOI10.1016/j.csda.2007.03.016zbMath1452.62093OpenAlexW2102946917MaRDI QIDQ1023463

David J. Marchette, Carey E. Priebe

Publication date: 12 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2007.03.016

zbMATH Keywords

random graphssocial networkslink predictiondot product graphscovert networksinterstate alliances

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Social networks; opinion dynamics (91D30) Random graphs (graph-theoretic aspects) (05C80) Probabilistic graphical models (62H22)

Related Items (6)

Inter-variable correlation prediction with fuzzy connected-triples ⋮ Redundant correlation effect on personalized recommendation ⋮ A particle-learning-based approach to estimate the influence matrix of online social networks ⋮ A latent process model for time series of attributed random graphs ⋮ Model for Heterogeneous Random Networks Using Continuous Latent Variables and an Application to a Tree-Fungus Network ⋮ Detection of structurally homogeneous subsets in graphs

Cites Work

• Unnamed Item
• Modeling graphs using dot product representations
• On Random Intersection Graphs: The Subgraph Problem
• Latent Space Approaches to Social Network Analysis
• Bilinear Mixed-Effects Models for Dyadic Data

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