在（小世界？）中定位数据同行科学合作
Locating Data in (Small-World?) Peer-to-Peer Scientific Collaborations
摘要：
数据共享科学合作具有特殊的特点，可能与当前的对等环境不同。在本文中，我们主张利用新兴模式的好处，在自配置网络专门用于科学数据共享合作。我们推测，一个点对点的科学合作网络将表现出小世界拓扑结构，因为这样做了大量的社交网络，其中相同的模式已被记录。我们提出了一个解决方案，用于在分散的，科学的，数据共享的环境中定位数据，利用小世界拓扑结构。我们提出的研究挑战是：应该使用什么协议来允许一个自我配置的对等网络形成类似于使用网络的人类在社交互动中所做的方式的小世界？
英文摘要：
Data-sharing scientific collaborations have particular characteristics, potentially different from the current peer-to-peer environments. In this paper we advocate the benefits of exploiting emergent patterns in self-configuring networks specialized for scientific data-sharing collaborations. We speculate that a peer-to-peer scientific collaboration network will exhibit small-world topology, as do a large number of social networks for which the same pattern has been documented. We propose a solution for locating data in decentralized, scientific, data-sharing environments that exploits the small-worlds topology. The research challenge we raise is: what protocols should be used to allow a self-configuring peer-to-peer network to form small worlds similar to the way in which the humans that use the network do in their social interactions?
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
