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This paper studies a strategic model of marketing and product diffusion in social networks. We consider two firms offering substitutable products which can improve their market share by seeding the key individuals in the market. Consumers…

社会与信息网络 · 计算机科学 2019-12-19 Milad Siami , Amir Ajorlou , Ali Jadbabaie

In this paper, we study a strategic model of marketing and product consumption in social networks. We consider two firms in a market competing to maximize the consumption of their products. Firms have a limited budget which can be either…

计算机科学与博弈论 · 计算机科学 2015-03-05 Arastoo Fazeli , Amir Ajorlou , Ali Jadbabaie

We consider the provision of public goods on networks of strategic agents. We study different effort outcomes of these network games, namely, the Nash equilibria, Pareto efficient effort profiles, and semi-cooperative equilibria (effort…

计算机科学与博弈论 · 计算机科学 2016-05-20 Parinaz Naghizadeh , Mingyan Liu

In the present work, we study the advertising competition of several marketing campaigns who need to determine how many resources to allocate to potential customers to advertise their products through direct marketing while taking into…

计算机科学与博弈论 · 计算机科学 2016-08-10 Antonia Masucci , Alonso Silva

We present a network influence game that models players strategically seeding the opinions of nodes embedded in a social network. A social learning dynamic, whereby nodes repeatedly update their opinions to resemble those of their…

计算机科学与博弈论 · 计算机科学 2016-09-23 Samuel D. Johnson , Jemin George , Raissa M. D'Souza

Modern socio-technical systems typically consist of many interconnected users and competing service providers, where notions like market equilibrium are tightly connected to the ``evolution'' of the network of users. In this paper, we model…

系统与控制 · 电气工程与系统科学 2024-07-09 Filippo Fabiani , Andrea Simonetto

This paper discusses a special type of multi-user communication scenario, in which users' utilities are linearly impacted by their competitors' actions. First, we explicitly characterize the Nash equilibrium and Pareto boundary of the…

计算机科学与博弈论 · 计算机科学 2009-08-13 Yi Su , Mihaela van der Schaar

In a competitive marketing, there are a large number of players which produce the same product. Each firm aims to diffuse its product information widely so that it's product will become popular among potential buyers. The more popular is a…

社会与信息网络 · 计算机科学 2019-01-01 Rahul Goel , Anurag Singh , Fakhteh Ghanbarnejad

In this work, we consider dynamic influence maximization games over social networks with multiple players (influencers). The goal of each influencer is to maximize their own reward subject to their limited total budget rate constraints.…

计算机科学与博弈论 · 计算机科学 2023-09-26 Melih Bastopcu , S. Rasoul Etesami , Tamer Başar

One of the natural objectives of the field of the social networks is to predict agents' behaviour. To better understand the spread of various products through a social network arXiv:1105.2434 introduced a threshold model, in which the nodes…

计算机科学与博弈论 · 计算机科学 2013-04-09 Sunil Simon , Krzysztof R. Apt

Firms (businesses, service providers, entertainment organizations, political parties, etc.) advertise on social networks to draw people's attention and improve their awareness of the brands of the firms. In all such cases, the competitive…

计算机科学与博弈论 · 计算机科学 2026-03-17 Sayantika Mandal , Harman Agrawal , Swaprava Nath

We study interactions with uncertainty about demand sensitivity. In our solution concept (1) firms choose seemingly-optimal strategies given the level of sophistication of their data analytics, and (2) the levels of sophistication form best…

理论经济学 · 经济学 2021-04-06 Ron Berman , Yuval Heller

In this work, we investigate an application of a Nash equilibrium seeking algorithm in a social network. In a networked game each player (user) takes action in response to other players' actions in order to decrease (increase) his cost…

计算机科学与博弈论 · 计算机科学 2017-03-28 Farzad Salehisadaghiani

We study the problem of pricing under a Multinomial Logit model where we incorporate network effects over the consumer's decisions. We analyse both cases, when sellers compete or collaborate. In particular, we pay special attention to the…

计算机科学与博弈论 · 计算机科学 2020-05-08 Felipe Maldonado , Gerardo Berbeglia , Pascal Van Hentenryck

In this paper we introduce a capacity allocation game which models the problem of maximizing network utility from the perspective of distributed noncooperative agents. Motivated by the idea of self-managed networks, in the developed…

计算机科学与博弈论 · 计算机科学 2013-07-23 Dariusz Gcasior , Maciej Drwal

In this paper, Nash equilibrium seeking among a network of players is considered. Different from many existing works on Nash equilibrium seeking in non-cooperative games, the players considered in this paper cannot directly observe the…

最优化与控制 · 数学 2017-03-28 Maojiao Ye , Guoqiang Hu

We consider the problem of budget allocation for competitive influence maximization over social networks. In this problem, multiple competing parties (players) want to distribute their limited advertising resources over a set of social…

计算机科学与博弈论 · 计算机科学 2021-08-31 S. Rasoul Etesami

Today, many companies take advantage of viral marketing to promote their new products, and since there are several competing companies in many markets, Competitive Influence Maximization has attracted much attention. Two categories of…

社会与信息网络 · 计算机科学 2019-12-30 Amirhossein Ansari , Masoud Dadgar , Ali Hamzeh , Jörg Schlötterer , Michael Granitzer

This paper investigates the Nash equilibrium seeking problems for networked games with intermittent communication, where each player is capable of communicating with other players intermittently over a strongly connected and directed graph.…

最优化与控制 · 数学 2023-10-05 Ying Zhai , Rui Yuan , Huan Su

In this paper, we address the challenge of Nash equilibrium (NE) seeking in non-cooperative convex games with partial-decision information. We propose a distributed algorithm, where each agent refines its strategy through projected-gradient…

计算机科学与博弈论 · 计算机科学 2023-09-15 Duong Thuy Anh Nguyen , Mattia Bianchi , Florian Dörfler , Duong Tung Nguyen , Angelia Nedić
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