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Externalities in Endogenous Sharing Economy Networks.
TLDR
In this article, the authors investigated the impact of link formation between a pair of agents on the resource availability of other agents (that is, externalities) in a social cloud network, a special case of endogenous sharing economy networks.Abstract:
This paper investigates the impact of link formation between a pair of agents on the resource availability of other agents (that is, externalities) in a social cloud network, a special case of endogenous sharing economy networks. Specifically, we study how the closeness between agents and the network size affect externalities.
We conjecture, and experimentally support, that for an agent to experience positive externalities, an increase in its closeness is necessary. The condition is not sufficient though. We, then, show that for populated ring networks, one or more agents experience positive externalities due to an increase in the closeness of agents. Further, the initial distance between agents forming a link has a direct bearing on the number of beneficiaries, and the number of beneficiaries is always less than that of non-beneficiaries.read more
Citations
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References
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TL;DR: In this article, the authors study the stability and efficiency of social and economic networks when self-interested individuals can form or sever links, and show that there does not always exist a stable network that is efficient.
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Putting the sharing economy into perspective
Koen Frenken,Juliet B. Schor +1 more
TL;DR: In this article, the authors develop a conceptual framework that allows us to define the sharing economy and its close-cousins and understand its sudden rise from an economic-historic perspective.
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Axioms for Centrality
Paolo Boldi,Sebastiano Vigna +1 more
TL;DR: This study tries to provide a mathematically sound survey of the most important classic centrality measures known from the literature and proposes an axiomatic approach to establish whether they are actually doing what they have been designed to do, and suggests that centrality Measures based on distances, which in recent years have been neglected in information retrieval, do provide high-quality signals.