2006
DOI: 10.1007/11944874_16
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Competing for Customers in a Social Network: The Quasi-linear Case

Abstract: Proceedings Second International Workshop, WINE 2006, Patras, Greece, December 15-17, 2006.International audienceThere are many situations in which a customer's proclivity to buy the product of any firm depends not only on the classical attributes of the product such as its price and quality, but also on who else is buying the same product. We model these situations as games in which firms compete for customers located in a “social network”. Nash Equilibrium (NE) in pure strategies exist and are unique. Indeed… Show more

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Cited by 37 publications
(39 citation statements)
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“…This competition could occur between companies marketing similar products or between different political movements or ideologies seeking societal acceptance. Indeed, several papers [4,10,13,16,27,40,46,78] have proposed and analyzed models for competition between multiple cascades.…”
Section: Subsequent Workmentioning
confidence: 99%
See 1 more Smart Citation
“…This competition could occur between companies marketing similar products or between different political movements or ideologies seeking societal acceptance. Indeed, several papers [4,10,13,16,27,40,46,78] have proposed and analyzed models for competition between multiple cascades.…”
Section: Subsequent Workmentioning
confidence: 99%
“…To our knowledge, Dubey et al [27] were the first to explicitly propose a model for competing cascades, extending the simple linear model of Richardson and Domingos [68] to competing cascades, and characterizing its equilibria. Subsequently, Carnes et al [16] and Bharathi et al [10] proposed extensions of the Independent Cascade model.…”
Section: Subsequent Workmentioning
confidence: 99%
“…There is a large body of work on mechanisms and pricing strategies for this problem with a single [1,3,5,6,9,10,16,19,21,28] or multiple items [2,7,12,18,24,[30][31][32] when the valuation function of a user depends solely on the 1-hop neighborhood of a user and the user itself. All this work assumes that there is an infinite supply of items (of each type if there are different items) and the users have unit-demand, that is, they want to buy only one item.…”
Section: Introductionmentioning
confidence: 99%
“…Once the transmissions path of both intersects, the user query will get the result. The simplest strategy to implement Rumor routing algorithm is: the source node transmits data along the horizontal direction and keeps a copy in the passing path, user query transmits along the vertical direction, and thus it ensures the path of both can intersect Ru-mor routing algorithm is better that flooding algorithm in query efficiency and data transmission rate indicators [9]. Liu Xin proposed a kind of data storage and query routing algorithms that based on comb -pin model [10].…”
Section: Introductionmentioning
confidence: 99%