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Computing a Profit-Maximizing Sequence of Offers to Agents in a Social Network [chapter]

Sayan Bhattacharya, Dmytro Korzhyk, Vincent Conitzer
2012 Lecture Notes in Computer Science  
We focus on how to optimally introduce a new product into a social network of agents, when that product has significant externalities.  ...  Firms have ever-increasing amounts of information about possible customers available to them; furthermore, they are increasingly able to push offers to them rather than having to passively wait for a consumer  ...  Thus, the OPTIMAL-OFFER-SEQUENCE problem can be solved efficiently when the utility functions are symmetric.  ... 
doi:10.1007/978-3-642-35311-6_36 fatcat:gk6m5fgq2bcqtafc7doy2rrkoa

Optimal Pricing in the Presence of Local Network Effects [chapter]

Ozan Candogan, Kostas Bimpikis, Asuman Ozdaglar
2010 Lecture Notes in Computer Science  
In particular, we show that it is optimal for the monopolist to charge each agent a price that is proportional to her Bonacich centrality in the social network.  ...  We study the optimal pricing strategies of a monopolist selling a divisible good (service) to consumers that are embedded in a social network.  ...  Finally, there is a recent stream of literature in computer science, that studies a set of algorithmic questions related to marketing strategies over social networks.  ... 
doi:10.1007/978-3-642-17572-5_10 fatcat:g34mhoc24bac7dlfkaez5ea4lq

A monopoly pricing model for diffusion maximization based on heterogeneous nodes and negative network externalities (Case study: A novel product)

Aghdas Badiee, Mehdi Ghazanfari
2018 Decision Science Letters  
used to maximize diffusion in the network.  ...  Social networks can provide sellers across the world with invaluable information about the structure of possible influences among different members of a network, whether positive or negative, and can be  ...  Acknowledgement The authors would like to acknowledge helpful discussions and financial supports with Iranian E-Commerce Scientific Association.  ... 
doi:10.5267/j.dsl.2017.8.001 fatcat:jno6hak3sbg2ph7otgpxvvrwxu

Strategyproof Mechanisms for Content Delivery via Layered Multicast [chapter]

Ajay Gopinathan, Zongpeng Li
2011 Lecture Notes in Computer Science  
In order to maximize either its revenue or the total utility of users, content providers employing layered multicast need to carefully choose a routing, layer allocation and pricing scheme.  ...  We next tailor a payment scheme based on the idea of critical bids to derive a truthful mechanism that achieves a constant fraction of the optimal social welfare.  ...  Theorem 4 Algorithm 3 computes revenue-maximizing prices with respect to the social welfare computed by A.  ... 
doi:10.1007/978-3-642-20798-3_7 fatcat:2cz24klhlvcbfjrjfczwzsqram

Pricing in social networks

Francis Bloch, Nicolas Quérou
2013 Games and Economic Behavior  
We analyze the problem of optimal monopoly pricing in social networks in order to characterize the influence of the network topology on the pricing rule.  ...  JEL Classification Numbers: D85, D43, C69 We dedicate this paper to the memory of Toni Calvó-Armengol, a gifted network theorist and a wonderful friend. We thank Coralio Ballester,  ...  Each monopoly chooses its price p i to maximize its own profit, taking as given the price p j chosen at all other nodes in the social network.  ... 
doi:10.1016/j.geb.2013.03.006 fatcat:pgvx6ku4fjcazfccldfiknhk2e

Optimal Pricing in Networks with Externalities [article]

Ozan Candogan, Kostas Bimpikis, Asuman Ozdaglar
2011 arXiv   pre-print
In particular, we show that it is optimal for the monopolist to charge each agent a price that is proportional to her Bonacich centrality in the social network.  ...  We study the optimal pricing strategies of a monopolist selling a divisible good (service) to consumers that are embedded in a social network.  ...  Finally, there is a recent stream of literature in computer science, that studies a set of algorithmic questions related to marketing strategies over social networks.  ... 
arXiv:1101.5617v1 fatcat:lsu6djbfjzebxe4ve4uexy5uti

Optimal Pricing in Networks with Externalities

Ozan Candogan, Kostas Bimpikis, Asuman Ozdaglar
2012 Operations Research  
In particular, we show that it is optimal for the monopolist to charge each agent a price that is proportional to her Bonacich centrality in the social network.  ...  We study the optimal pricing strategies of a monopolist selling a divisible good (service) to consumers that are embedded in a social network.  ...  Finally, there is a recent stream of literature in computer science, that studies a set of algorithmic questions related to marketing strategies over social networks.  ... 
doi:10.1287/opre.1120.1066 fatcat:ma76v2ir2fbr5bzissuncz7uh4

Trading networks with price-setting agents

Larry Blume, David Easley, Jon Kleinberg, Eva Tardos
2007 Proceedings of the 8th ACM conference on Electronic commerce - EC '07  
Our work differs from recent studies of how price is affected by network structure through our modeling of price-setting as a strategic activity carried out by a subset of agents in the system, rather  ...  Finally, we consider how the profits obtained by the traders depend on the underlying graph -roughly, a trader can command a positive profit if and only if it has an "essential" connection in the network  ...  First, we show how to maximize the total profit of a set of traders. The profit of trader t in an equilibrium is P i qti.  ... 
doi:10.1145/1250910.1250933 dblp:conf/sigecom/BlumeEKT07 fatcat:ucgpa7w44nbq5ptn436x7pl5jy

HEMS: a home energy market simulator

Andrea Monacchi, Sergii Zhevzhyk, Wilfried Elmenreich
2014 Computer Science - Research and Development  
A price signal can be exploited to reflect the availability of energy.  ...  Artificial neural network controllers for energy prosumers can be designed to minimize individual and overall running costs.  ...  Decision policies are considered efficient when they maximize social welfare, which is the sum of utilities delivered to traders in a certain outcome.  ... 
doi:10.1007/s00450-014-0291-7 fatcat:djv3yjoehbe2fl7hosmaxjaibi

Optimal price-based control of heterogeneous thermostatically controlled loads under uncertainty using LSTM networks and genetic algorithms

Taha Abdelhalim Nakabi, Pekka Toivanen
2019 F1000Research  
We use this prediction model in a genetic algorithm to find the best prices in terms of profit maximization in an energy arbitrage operation.  ...  The simulation results show that the proposed method offers a profit equal to 96% of the theoretical optimal solution.  ...  The LSTM network offered a high performance by extracting relevant features of the hidden state using its internal memory cell, allowing it to process sequences of sparse observations to learn the hidden  ... 
doi:10.12688/f1000research.20421.1 fatcat:q67xsko5xrc3hfqiczqgwne2gi

Trading networks with price-setting agents

Lawrence E. Blume, David Easley, Jon Kleinberg, Éva Tardos
2009 Games and Economic Behavior  
Our work differs from recent studies of how price is affected by network structure through our modeling of price-setting as a strategic activity carried out by a subset of agents in the system, rather  ...  Finally, we consider how the profits obtained by the traders depend on the underlying graph -roughly, a trader can command a positive profit if and only if it has an "essential" connection in the network  ...  First, we show how to maximize the total profit of a set of traders. The profit of trader t in an equilibrium is P i qti.  ... 
doi:10.1016/j.geb.2008.12.002 fatcat:loxoc4ntlncnzhqflgjo3njps4

Dynamic pricing strategies for social networks in the presence of externalities

B. T. Swapna, Atilla Eryilmaz, Ness B. Shroff
2012 2012 Information Theory and Applications Workshop  
We propose a dynamic pricing strategy for maximizing the revenue of a seller who wishes to sell a divisible service (good) to buyers (agents) embedded in a social network.  ...  Further, the computational complexity of each new round is cubic in the size of the social network.  ...  In this work, we study optimal dynamic pricing strategies for a seller who wishes to sell a divisible service/goods to a set of buyers (agents) embedded in a social network.  ... 
doi:10.1109/ita.2012.6181773 dblp:conf/ita/SwapnaES12 fatcat:heki3rydtzbsfhogyi3n7mt4ze

Review of Computational Intelligence Methods for Local Energy Markets at the Power Distribution Level to Facilitate the Integration of Distributed Energy Resources: State-of-the-art and Future Research

Pavlos S. Georgilakis
2020 Energies  
The aim of local energy markets is to optimize the objectives of market participants, e.g., to minimize the network operation cost for the distribution network operator, to maximize the profit of the private  ...  The massive integration of distributed energy resources in power distribution systems in combination with the active network management that is implemented thanks to innovative information and communication  ...  The objective of the agent is to find the optimal policy (optimal sequence of actions) that maximizes its expected reward.  ... 
doi:10.3390/en13010186 fatcat:3672qx4kqzht3lp4kizgq2kpo4

The catallaxy approach for decentralized economic-based allocation in Grid resource and service markets

Oscar Ardaiz, Pau Artigas, Torsten Eymann, Felix Freitag, Leandro Navarro, Michael Reinicke
2006 Applied intelligence (Boston)  
These resources can consist of computing power, storage of data or content, network bandwidth and sensor or actuators.  ...  Catallactic agents discover selling nodes in the resource and service Grid markets, and negotiate with each other maximizing their utility by following a strategy.  ...  Since service-copy agents negotiate in both markets, its strategy must aim at maximizing profit in both markets simultaneously. 3) Resource (R): An agent, the owner of a resource.  ... 
doi:10.1007/s10489-006-9650-9 fatcat:3w7eud6m6ra3rag6r5key3l5wi

Agent-Based Reallocation Problem on Social Networks

Antoine Nongaillard, Philippe Mathieu
2013 Group Decision and Negotiation  
A solution does not only consist in an optimal allocation, but in a sequence of transactions changing an initial allocation into an optimal solution.  ...  Our method provides a sequence of transactions leading to an optimal allocation, with any restriction on agents' communication abilities. Provided solutions can be viewed as emergent phenomena.  ...  We show that it is important to consider the social graph in order to guarantee the negotiation efficiency in real conditions.  ... 
doi:10.1007/s10726-012-9336-0 fatcat:gjggi6hnmzfbbj4erm772lauty
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