The agents' preferences and the topology of networks

Abstract

In this paper, a new framework to study weighed networks is introduced. The idea behind this methodology is to consider that each node of the network is an agent that desires to satisfy his/her preferences in an economic sense. Moreover, the formation of a link between two agents depends on the benefits and costs associated to this link. Therefore, an edge between two given nodes will only arise if the tradeoff between satisfaction and cost for building it is jointly positive. Using a computational framework, I intend to show that depending on the agents combination of benefits and costs, some very well known networks can naturally arise.

References in corpus (8)

• Emergence of scaling in random networks
• Statistical mechanics of complex networks
• Efficient Behavior of Small-World Networks
• Dynamical and correlation properties of the Internet
• Economic Small-World Behavior in Weighted Networks
• Weighted Evolving Networks
• Characterization and Modeling of weighted networks
• Degree Distributions of Growing Networks

Cited by in corpus (4)

• Socioeconomic Networks with Long-Range Interactions
• The role of optimization in the human dynamics of tasks execution
• A dynamical programming approach for controlling the directed abelian Dhar-Ramaswamy model
• Effect of congestion avoidance due to congestion information provision on optimizing agent dynamics on an endogenous star network topology