2010
DOI: 10.1109/tnet.2010.2048923
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Modeling the Dynamics of Network Technology Adoption and the Role of Converters

Abstract: New network technologies constantly seek to displace incumbents. Their success depends on technological superiority, the size of the incumbent's installed base, users' adoption behaviors, and various other factors. The goal of this paper is to develop an understanding of competition between network technologies, and identify the extent to which different factors, in particular converters (a.k.a. gateways), affect the outcome. Converters can help entrants overcome the influence of the incumbent's installed base… Show more

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Cited by 53 publications
(44 citation statements)
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“…Network migrations are typically studied using system-dynamics [17,18] and agentbased models [19,20]. The former approach is based on aggregate system-wide properties, while, in the latter approach, simple rules of mutual interaction between agents govern the evolution of the system.…”
Section: System Dynamics and Agent-based Modelsmentioning
confidence: 99%
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“…Network migrations are typically studied using system-dynamics [17,18] and agentbased models [19,20]. The former approach is based on aggregate system-wide properties, while, in the latter approach, simple rules of mutual interaction between agents govern the evolution of the system.…”
Section: System Dynamics and Agent-based Modelsmentioning
confidence: 99%
“…The former approach is based on aggregate system-wide properties, while, in the latter approach, simple rules of mutual interaction between agents govern the evolution of the system. In the system dynamics approach, the migration problem is treated as a dynamic system in [17,18], where the rate of migration depends on the existing number of migrated agents in the system, according to the traditional diffusion theory of innovation [14]. On the other hand, in an agent-based approach [19,20], the system consists of an ensemble of agents, each trying to increase its own utility.…”
Section: System Dynamics and Agent-based Modelsmentioning
confidence: 99%
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“…The key feature here is that the connectivity will cross one or more IPv4-IPv6 network borders, so we have no options but to enable artificial inter-operability between IPv4 and IPv6 on the borders. Since the ultimate goal is to realize a complete transfer to IPv6 networks, enabling the inter-operability also helps to overcome the influence of the IPv4's existing base [21].…”
Section: Problemmentioning
confidence: 99%
“…Joseph et al [2007] and Sen et al [2010] both propose models to study the adoption of two network technologies. In both papers, user utility is modeled as the sum of a standalone benefit (which depends on the values that individual users place on each network technology) and a network externality (which depends on the number of the subscribers to each technology).…”
Section: Introductionmentioning
confidence: 99%