compareToFIMarket: Compares the welfare of the WoM campaign to that of a fully...
In WordOfMouth: Estimates Economic Variables for Word-of-Mouth-Campaigns
compareToFIMarket R Documentation
Compares the welfare of the WoM campaign to that of a fully informed market
Description
Compares the welfare of the WoM campaign to the welfare of a fully informed market assuming a uniformly distributed willingness to pay.
Usage
compareToFIMarket(campaign)
Arguments
campaign
Word-of-Mouth campaign as instance of class WoMCampaign.
Value
Data frame containing the profit-maximizing price, the resulting demand, profit, consumer surplus and
economic welfare for a fully informed market and a WoM 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 computeConsumerSurplus
Examples
network <- new("WoMNetwork", size = 1000, avgConnections = 5)
campaign <- new("WoMCampaign", network = network, seedingSize = 10, forwardProbability = 0.2)
comparison <- compareToFIMarket(campaign)
print(comparison)
WordOfMouth documentation built on June 8, 2025, 1:47 p.m.
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| compareToFIMarket | R Documentation |
Compares the welfare of the WoM campaign to that of a fully informed market
Description
Compares the welfare of the WoM campaign to the welfare of a fully informed market assuming a uniformly distributed willingness to pay.
Usage
compareToFIMarket(campaign)
Arguments
campaign |
Word-of-Mouth campaign as instance of class |
Value
Data frame containing the profit-maximizing price, the resulting demand, profit, consumer surplus and economic welfare for a fully informed market and a WoM 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 computeConsumerSurplus
Examples
network <- new("WoMNetwork", size = 1000, avgConnections = 5)
campaign <- new("WoMCampaign", network = network, seedingSize = 10, forwardProbability = 0.2)
comparison <- compareToFIMarket(campaign)
print(comparison)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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