Abstract

We study a revenue maximization problem in the context of social networks. Namely, we generalize a model introduced by Alon, Mansour, and Tennenholtz [2] that captures inequity aversion, i.e., it captures the fact that prices offered to neighboring nodes should not differ significantly. We first provide approximation algorithms for a natural class of instances, where the total revenue is the sum of single-value revenue functions. Our results improve on the current state of the art, especially when the number of distinct prices is small. This applies, for instance, to settings where the seller will only consider a fixed number of discount types or special offers. To complement our positive results, we resolve one of the open questions posed in [2] by establishing APX-hardness for the problem. Surprisingly, we further show that the problem is NP-complete even when the price differences are allowed to be large, or even when the number of allowed distinct prices is as small as three. Finally, we study extensions of the model regarding the demand type of the clients.

Highlights

  • We study a differential pricing optimization problem in the presence of network effects

  • We are interested in studying differential pricing in the context of a social network

  • A second example of negative externalities, which is the focus of our work, and arises from differential pricing, is inequity aversion, see e.g., [4] and [8]

Read more

Summary

Introduction

We study a differential pricing optimization problem in the presence of network effects. A second example of negative externalities, which is the focus of our work, and arises from differential pricing, is inequity aversion, see e.g., [4] and [8]. This means that a customer may experience dissatisfaction if she realizes that other people within her social circle, were offered a better deal for the same service. The seller is allowed to not make a price offer to some nodes (referred to as introducing discontinuities, see the related discussion in Section 2), in which case the difference constraints do not apply for the edges incident to these nodes. Other types of negative externalities have been considered e.g., in [3, 5] which study the effects of invidious consumption

Definitions and Preliminaries
Warm-up
Approximation of Inequity Aversion Pricing
Approximation Algorithms for General Price Sets
Hardness for Single Value Revenue Functions
Concluding remarks
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.