On the analysis of fitness change: fitness-popularity dynamic network model with varying fitness

DOI10.1088/1742-5468/ab7754zbMath1457.90042OpenAlexW3016790837MaRDI QIDQ5135127

Hohyun Jung, Sung-Ho Kim, Jae-Gil Lee

Publication date: 19 November 2020

Published in: Journal of Statistical Mechanics: Theory and Experiment (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1088/1742-5468/ab7754

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of graph theory (05C90) Stochastic network models in operations research (90B15) Dynamic lattice systems (kinetic Ising, etc.) and systems on graphs in time-dependent statistical mechanics (82C20)

Cites Work

• Unnamed Item
• A state-space mixed membership blockmodel for dynamic network tomography
• A review of dynamic network models with latent variables
• Discrete temporal models of social networks
• A dynamic network model with persistent links and node-specific latent variables, with an application to the interbank market
• Emergence of Scaling in Random Networks
• Sublinear but never superlinear preferential attachment by local network growth
• Motif-based embedding for graph clustering
• Comparison of fitness and popularity: fitness-popularity dynamic network model
• The topology of an accelerated growth network
• Power-Law Distributions in Empirical Data
• The Structure and Function of Complex Networks
• Latent Space Approaches to Social Network Analysis
• Analysis of Kalman Filter Approximations for Nonlinear Measurements
• Coupling Online and Offline Analyses for Random Power Law Graphs
• Random Deletion in a Scale-Free Random Graph Process
• Adaptive Rejection Sampling for Gibbs Sampling
• A classification for community discovery methods in complex networks
• Evolutionary Network Analysis
• Statistical Inference for Probabilistic Functions of Finite State Markov Chains
• Bilinear Mixed-Effects Models for Dyadic Data