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Found 12 papers, 8 papers with code
State-transition dynamics of resting-state functional magnetic resonance imaging data: Model comparison and test-to-retest analysis
Electroencephalogram (EEG) microstate analysis entails finding dynamics of quasi-stable and generally recurrent discrete states in multichannel EEG time series data and relating properties of the estimated state-transition dynamics to observables such as cognition and behavior.
Reliability of energy landscape analysis of resting-state functional MRI data
Energy landscape analysis is a data-driven method to analyze multidimensional time series, including functional magnetic resonance imaging (fMRI) data.
Gene communities in co-expression networks across different tissues
We suggest that KRTAP3-1, KRTAP3-3, and KRTAP3-5 share regulatory elements in skin and pancreas.
Temporal Motifs for Financial Networks: A Study on Mercari, JPMC, and Venmo Platforms
For the Venmo network, we investigate the interplay between financial and social relations on three tasks: friendship prediction, vendor identification, and analysis of temporal cycles.
Biases in Inverse Ising Estimates of Near-Critical Behaviour
Inverse Ising inference allows pairwise interactions of complex binary systems to be reconstructed from empirical correlations.
Concurrency measures in the era of temporal network epidemiology: A review
Diseases spread over temporal networks of interaction events between individuals.
Epidemiology
Physics and Society
Social and Information Networks
Modeling state-transition dynamics in resting-state brain signals by the hidden Markov and Gaussian mixture models
However, we also find that the accuracy of the GMM is comparable to that of the HMM under the condition that the sampling frequency is reasonably low (e. g., TR = 2. 88 or 3. 60 s) or the data is relatively short.
Estimating international trade status of countries from global liner shipping networks
Maritime shipping is a backbone of international trade and thus the world economy.
Social and Information Networks
Constructing networks by filtering correlation matrices: A null model approach
Thresholding on the value of the pairwise correlation is probably the most straightforward and common method to create a network from a correlation matrix.
Physics and Society
Multiscale core-periphery structure in a global liner shipping network
We develop an algorithm to detect core-periphery pairs in a network, which allows one to find core and peripheral nodes on different scales and uses a configuration model that accounts for the fact that the network is obtained by the one-mode projection of a bipartite network.
Physics and Society
Solving Feature Sparseness in Text Classification using Core-Periphery Decomposition
We observe that prioritising features that are common to both training and test instances as cores during the CP decomposition to further improve the accuracy of text classification.
Finding multiple core-periphery pairs in networks
We propose a scalable algorithm to detect multiple non-overlapping groups of core-periphery structure in a network.
Physics and Society Social and Information Networks
