Statistical analysis of network data. Methods and models
From MaRDI portal
Publication:999151
DOI10.1007/978-0-387-88146-1zbMath1277.62021OpenAlexW2486096428MaRDI QIDQ999151
Publication date: 2 February 2009
Published in: Springer Series in Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-0-387-88146-1
Random graphs (graph-theoretic aspects) (05C80) Stochastic network models in operations research (90B15) Research exposition (monographs, survey articles) pertaining to statistics (62-02) Research exposition (monographs, survey articles) pertaining to operations research and mathematical programming (90-02) Applications of graph theory to circuits and networks (94C15)
Related Items
Estimation of Subgraph Densities in Noisy Networks, What are the Most Important Statistical Ideas of the Past 50 Years?, Randomized Spectral Clustering in Large-Scale Stochastic Block Models, Sampling Based Estimation of In-Degree Distribution for Directed Complex Networks, Horvitz-Thompson estimator under partial information with an application to network degree distribution, Nonparametric Bayesian label prediction on a large graph using truncated Laplacian regularization, Data Analytics on Graphs Part III: Machine Learning on Graphs, from Graph Topology to Applications, The Value of Information in Selfish Routing, Local structure graph models with higher‐order dependence, A semiparametric Bayesian approach to epidemics, with application to the spread of the coronavirus MERS in South Korea in 2015, Statistical Inference, Learning and Models in Big Data, Tempus volat, hora fugit: A survey of tie‐oriented dynamic network models in discrete and continuous time, Network dynamics with a nested node set: Sociability in seven villages in Senegal, Statistical inference for continuous‐time Markov processes with block structure based on discrete‐time network data, Maximum likelihood estimation based on the Laplace approximation for p2 network regression models, Mixture models and networks: The stochastic blockmodel, Predictive inference for travel time on transportation networks, Bias-Adjusted Spectral Clustering in Multi-Layer Stochastic Block Models, A network Lasso model for regression, Saddlepoint Approximations for Spatial Panel Data Models, A network Poisson model for weighted directed networks with covariates, Modeling and pricing cyber insurance. Idiosyncratic, systematic, and systemic risks, On sparsity, power-law, and clustering properties of graphex processes, Non-representative sampled networks: estimation of network structural properties by weighting, Mixed-Effect Time-Varying Network Model and Application in Brain Connectivity Analysis, Modeling Networks with a Growing Feature-Structure, How to Calculate the Barycenter of a Weighted Graph, Statistical Inference in a Directed Network Model With Covariates, Using the bootstrap for statistical inference on random graphs, Unnamed Item, An option-theoretic model of a reputation network, Dynamic networks with multi-scale temporal structure, Modeling transitivity in local structure graph models, Graph partitioning by correspondence analysis and taxicab correspondence analysis, Subgraph network random effects error components models: specification and testing, Investigating competition in financial markets: a sparse autologistic model for dynamic network data, Assessing the data complexity of imbalanced datasets, A stochastic block model approach for the analysis of multilevel networks: an application to the sociology of organizations, Graphical modelling and partial characteristics for multitype and multivariate-marked spatio-temporal point processes, Large-scale estimation of random graph models with local dependence, Assessing systemic risk due to fire sales spillover through maximum entropy network reconstruction, Motif estimation via subgraph sampling: the fourth-moment phenomenon, Topic-adjusted visibility metric for scientific articles, Manifold valued data analysis of samples of networks, with applications in corpus linguistics, Bootstrapping exchangeable random graphs, Uniform estimation in stochastic block models is slow, A note on jointly modeling edges and node attributes of a network, Analysis of complex network performance and heuristic node removal strategies, Hurdle Blockmodels for Sparse Network Modeling, Exponential random simplicial complexes, A tutorial on methods for the modeling and analysis of social network data, Discussion to: \textit{Bayesian graphical models for modern biological applications} by Y. Ni, V. Baladandayuthapani, M. Vannucci and F.C. Stingo, Equity markets’ clustering and the global financial crisis, Structural estimation of pairwise stable networks with nonnegative externality, A Bayesian approach to sparse dynamic network identification, A dynamic network model of the unsecured interbank lending market, Consistency under sampling of exponential random graph models, Validation of community robustness, Nonparametric Bayesian label prediction on a graph, Maximum likelihood estimation in the \(\beta\)-model, The dynamic factor network model with an application to international trade, A review of dynamic network models with latent variables, Estimating the number of connected components in a graph via subgraph sampling, Concentration and consistency results for canonical and curved exponential-family models of random graphs, Averages of unlabeled networks: geometric characterization and asymptotic behavior, A bag-of-paths framework for network data analysis, Simulation relations for pattern matching in directed graphs, Analyzing complex functional brain networks: fusing statistics and network science to understand the brain, Subsampling bootstrap of count features of networks, Network analysis and modelling: Special issue ofEuropean Journal of Applied Mathematics, Statistical theory powering data science, Generalized network psychometrics: combining network and latent variable models, Model identification of a network as compressing sensing, Modeling dependent gene expression, Random graphs with a given degree sequence, Consistency and asymptotic normality of stochastic block models estimators from sampled data, An experimental investigation of kernels on graphs for collaborative recommendation and semisupervised classification, A latent process model for time series of attributed random graphs, A survey of discrete methods in (algebraic) statistics for networks, Detecting social transmission in networks, Bootstrap estimators for the tail-index and for the count statistics of graphex processes, Universal construction mechanism for networks from one-dimensional symbol sequences, Exponential-family models of random graphs: inference in finite, super and infinite population scenarios, Spectral clustering in the dynamic stochastic block model, Operator-valued kernel-based vector autoregressive models for network inference, Identification of complete information games, Portal nodes screening for large scale social networks, Sparse plus low rank network identification: a nonparametric approach, A motif building process for simulating random networks, Minimax lower bounds for function estimation on graphs, Parametric estimation for Gaussian fields indexed by graphs, Statistical inference on random dot product graphs: a survey, Adjustable network reconstruction with applications to CDS exposures, Point Patterns Occurring on Complex Structures in Space and Space-Time: An Alternative Network Approach, Inference and characterization of multi-attribute networks with application to computational biology, Variational Inference for Stochastic Block Models From Sampled Data, Data science, big data and statistics, Developments in the theory of randomized shortest paths with a comparison of graph node distances, The characteristics of cycle-nodes-ratio and its application to network classification, Network congestion analysis of gravity generated models, Approximation of the difference of two Poisson-like counts by Skellam, Time series modeling on dynamic networks, Exactp-Values for Network Interference, A robust test for network generated dependence, Adaptive estimation of nonparametric geometric graphs, Sparse randomized shortest paths routing with Tsallis divergence regularization, Graphs as navigational infrastructure for high dimensional data spaces, Time-varying network models, Network representation using graph root distributions, Correlation bounds, mixing and \(m\)-dependence under random time-varying network distances with an application to Cox-processes, Fast community detection by SCORE, Identifying overlapping terrorist cells from the Noordin Top actor-event network, Bootstrapping on undirected binary networks via statistical mechanics, Exploring dependence structures in the international arms trade network: A network autocorrelation approach, Node Features Adjusted Stochastic Block Model, Overlapping communities and roles in networks with node attributes: probabilistic graphical modeling, Bayesian formulation and variational inference, Dynamic network models and graphon estimation, Special issue on statistical analysis of networks, Online network monitoring, A note on parallel sampling in Markov graphs, In defense of the indefensible: a very naïve approach to high-dimensional inference, Nonparametric inference for continuous-time event counting and link-based dynamic network models, Identification and Estimation of Treatment and Interference Effects in Observational Studies on Networks, Dynamic stochastic block models: parameter estimation and detection of changes in community structure, A blockwise network autoregressive model with application for fraud detection, Scale-space module detection for random fields observed on a graph non-embedded in a metric space, Consistency of spectral clustering in stochastic block models, Estimating network degree distributions under sampling: an inverse problem, with applications to monitoring social media networks, Network tomography for integer-valued traffic, On the question of effective sample size in network modeling: an asymptotic inquiry
Uses Software
