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NetOrigin (version 1.0-3)

Origin Estimation for Propagation Processes on Complex Networks

Description

Performs network-based source estimation. Different approaches are available: effective distance median, recursive backtracking, and centrality-based source estimation. Additionally, we provide public transportation network data as well as methods for data preparation, source estimation performance analysis and visualization.

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Version

Install

install.packages('NetOrigin')

Monthly Downloads

264

Version

1.0-3

License

GPL-3

Maintainer

Juliane Manitz

Last Published

April 20th, 2018

Functions in NetOrigin (1.0-3)

plot_performance

A plot method combining a time series of performance results.
robustness-methods

methods for robustness estimation objects of class robustness
robustness

run robustness analysis for a source estimate by subsampling individual events.
plot_ptn

A plot method for public transportation networks (PTNs).
NetOrigin

Origin Estimation for Propagation Processes on Complex Networks
aggr_data

convert individual event information to aggregated information per network node
origin-methods

methods for origin estimation objects of class origin
eff_dist

Computation of effective path distance
plot

generic method for plots
delay-data

Delay propagation data examples simulated by LinTim software
performance

generic method for performance evaluation
analyze_ptn

analyze public transportation network characteristics
origin

Origin Estimation for Propagation Processes on Complex Networks
var_wtd_mean_cochran

Computes the variance of a weighted mean following the definition by Cochran (1977; see Gatz and Smith, 1995)
origin_multiple

Multiple origin estimation using community partitioning
read_DB_data

Reads a data file as provided by 'Deutsche Bahn' (for internal use).
ptn-data

Public transportation network datasets from LinTim software (Integrated Optimization in Public Transportation)