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Unlike traditional epidemic virus spreading, behavior diffusion in social networks is conducted by rational users, who would make strategic choices instead of being randomly infected with some probability. Specifically, individuals always try to maximize their utilities through rationally selecting specific behaviors (adopting a new product, or spreading a rumor, etc.). However, utility obtained by...
For behavior diffusion in autonomous and rational networks, most understanding comes from models and ideas borrowed from epidemiology on empirical or synthetic biological networks. However, in rational and autonomous networks, agents make strategic choice about behaviors in contrast being randomly assigned an attribute (such as being infected). Specifically, an agent is assumed to behave rationally...
This paper thoroughly investigated the Evolutionary Game Theory (EGT) based modeling and analysis of reciprocation-based incentive mechanisms. Unlike existing work which adopts replicator equation to analyze the stability of incentive mechanisms (actually, replicator equation is only applicable to describe deterministic selection in infinitely large and well-mixed population), we paid special attentions...
Trust research has become a key issue in the last few years as a novel and valid solution to ensure the security and application in peer-to-peer (P2P) file-sharing networks. The fundamental challenges lie in what transaction behaviors are most suitable for the measure of reputation and how to resist various threats of manipulation by strategic participants. In this paper, we propose a new trust model...
Mobile Ad Hoc networks (MANETs) is composed of mobile wireless nodes that are self-organized. The infrastructureless and dynamic nature of these networks demand very efficient routing strategies to be implemented in order to provide reliable end-to-end communication. Different routing protocols have been proposed in literature, but all of them are restricted to certain topology and scale assumptions...
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