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handle: 2117/2303
P2P networks are often associated with file exchange applications among private users. However, their features make them suitable for other uses. In this paper we present a P2P architecture for scientific collaboration networks, which takes advantage of the properties inherent in these social networks - small-world, clustering, community structure, assortative mixing, preferential attachment and small and stable groups - in order to obtain better performance, efficient use of resources and system resilience. Peer Reviewed
:Informàtica::Arquitectura de computadors::Arquitectures distribuïdes [Àrees temàtiques de la UPC], System resilience, Groupware, Scientific collaboration networks, Associative mixing, Distributed systems, P2P architecture, Social networks, Preferential attachmet, File exchange, Degree distribution, Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures distribuïdes, Peer-to-peer computing, Sistemes distribuïts, Resource allocation
:Informàtica::Arquitectura de computadors::Arquitectures distribuïdes [Àrees temàtiques de la UPC], System resilience, Groupware, Scientific collaboration networks, Associative mixing, Distributed systems, P2P architecture, Social networks, Preferential attachmet, File exchange, Degree distribution, Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures distribuïdes, Peer-to-peer computing, Sistemes distribuïts, Resource allocation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 7 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 81 |

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