Statistical analysis of change in networks
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Publication:3989498
DOI10.1111/j.1467-9574.1991.tb01310.xzbMath0745.62094OpenAlexW2005781730MaRDI QIDQ3989498
No author found.
Publication date: 28 June 1992
Published in: Statistica Neerlandica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1467-9574.1991.tb01310.x
surveysocial networksrelational structuresnonstationary sequencesrandom graph processesconditionally uniform modelsconditionally uniform models for changeHolland-Leinhardt modelindependent Markovian dyad processeslog-linear models for changelogit regression methodsMarkovian changepairwise relationships
Applications of graph theory (05C90) Random graphs (graph-theoretic aspects) (05C80) Inference from stochastic processes (62M99)
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The h-Index of a Graph and Its Application to Dynamic Subgraph Statistics, Statistical monitoring of binary response attributed social networks considering random effects, Longitudinal network models and permutation‐uniform Markov chains, Extended dynamic subgraph statistics using \(h\)-index parameterized data structures, Models for network dynamics: A Markovian framework*, Random graph models for temporal processes in social networks*, On the number of non-zero elements of joint degree vectors, Maximum likelihood estimation for social network dynamics, Conditional Marginalization for Exponential Random Graph Models, Online network monitoring, Optimal sequential tests for detection of changes under finite measure space for finite sequences of networks
Cites Work
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- Survey sampling in graphs
- Sequential social network data
- Parties and networks: Stochastic models for relationship networks
- Markov Graphs
- Analyzing Social Networks As Stochastic Processes
- An Exponential Family of Probability Distributions for Directed Graphs
- A dynamic model for social networks†
- Models for binary directed graphs and their applications
