| computeInformationCostsThreshold {WordOfMouth} | R Documentation |
Computes the information costs threshold
Description
Computes the information costs that need to be surpassed in order to generate a higher profit than in a transparent market.
Usage
computeInformationCostsThreshold(campaign)
Arguments
campaign |
Word-of-Mouth campaign as instance of class |
Value
Information costs in [0; 1] that need to be surpassed in order to generate a higher profit than in a transparent market.
Author(s)
Michael Scholz michael.scholz@th-deg.de
Thomas Woehner Thomas.Woehner@eah-jena.de
Ralf Peters ralf.peters@wiwi.uni-halle.de
See Also
computeOptimalPrice computeProfit
Examples
network <- new("WoMNetwork", size = 1000, avgConnections = 5)
campaign <- new("WoMCampaign", network = network, seedingSize = 10, forwardProbability = 0.2)
threshold <- computeInformationCostsThreshold(campaign)
print(threshold)
[Package WordOfMouth version 1.1.0 Index]