A Markov chain Monte Carlo method is provided to estimate the preferential attachment function from a single network snapshot. Conventional methods require the complete information about the appearance order of all nodes and edges in the network. This package incorporates the appearance order into the state space and estimates it together with the preferential attachment function.
create_sim_data: generate simulation data.
Thong Pham, Paul Sheridan, Hidetoshi Shimodaira. Maintainer: Thong Pham [email protected]
1. Pham, T. and Sheridan, P. and Shimodaira, H. (2015). mcPAFit: Nonparametric Measurement of Preferential Attachment and Fitness from a Single Network Snapshot. Conference on Complex Systems 2015, September 2015, Arizona.
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## Not run: library("mcPAFit") ## End(Not run)
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