tssim_event_sync: Event synchronization measure

In ts2net: From Time Series to Networks

Event synchronization measure

Description

This function is an adapted version of the coocmetric function from the package mmpp. The differences are the introduction of a tau_max limitation factor and the optional normalization.

Usage

tssim_event_sync(
  tts1,
  tts2,
  tau_max = 1,
  normalization = c("both", "min", "none")
)

Arguments

tts1	Time indices marking events in time series 1
tts2	Time indices marking events in time series 2
tau_max	Max tau to be considered
normalization	Forms of normalization after the co-occurrence count. Possible values "both" (default), "min", and "none". The Default is "both", the original normalization defined by Quiroga et al: sqrt(N1*N2). This normalization might be problematic when both time series have very different number of events. Another possibility is to normalize the count by the "min" length between both series. The interpretation now takes into account only the series with less events. For example, considering two series, one with many events and another with just a single event, the results can be 1 (total sync). The option "none" means no normalization and the method returns the total count of synchronized events.

Details

Quiroga, R. Q., Kreuz, T., & Grassberger, P. (2002). Event synchronization: a simple and fast method to measure synchronicity and time delay patterns. Physical review E, 66(4), 041904.

Boers, N., Goswami, B., Rheinwalt, A., Bookhagen, B., Hoskins, B., & Kurths, J. (2019). Complex networks reveal global pattern of extreme-rainfall teleconnections. Nature, 566(7744), 373-377.

Value

Synchronization-based similarity

ts2net documentation built on June 9, 2022, 9:06 a.m.