computeInformationCostsThreshold: Computes the information costs threshold

Description Usage Arguments Value Author(s) See Also Examples

View source: R/Computation.r

Description

Computes the information costs that need to be surpassed in order to generate a higher profit than in a transparent market.

Usage

1

Arguments

campaign

Word-of-Mouth campaign as instance of class WoMCampaign.

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

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network <- new("WoMNetwork", size = 1000, avgConnections = 5)
campaign <- new("WoMCampaign", network = network, seedingSize = 10, forwardProbability = 0.2)
threshold <- computeInformationCostsThreshold(campaign)
print(threshold)

WordOfMouth documentation built on Oct. 4, 2021, 5:08 p.m.