【摘要】 e-Science和Web2.0的发展,促进了科研信息的开放和共享。科研人员对信息的依赖程度日渐加深,对知识服务、社会化信息的感知提出了更高的要求。科研人员在科研活动中形成了一张无形的社会网络,即学术社会网络。应用社会网络分析技术研究学术社会网络,一方面可以从宏观上通过对网络结构进行分析,了解当前的科研合作状况,提供科研管理的科学支持,另一方面可从微观的个人影响力、关系预测等多个侧面进行分析,深化信息服务。本文将重点介绍社会网络分析技术在当前科研信息化的应用实例,包括针对学术社会网络开展的实证研究工作,基于学术社会网络的合作者推荐技术,以及面向科研用户的支持知识共享和学术交流的学术社交平台。更多还原

【Abstract】 With the development of e-Science and Web 2.0, academic information becomes more accessible and socialized. Scientists are more dependent on information than ever, so that needs to knowledge mining and social information sensing are getting stronger. An invisible social network is taking shape through research activities, called academic social network. The application of social network analysis to academic social network allow to study the network structure and to help understand the conditons of the academic cooperation. And it can be used for personal influence analysis, relations predication or recommendation, which may enhance the academic information services. This paper will focus on applications of social network analysis in scientific research. We introduce the empirical research carried out in the academic social network firstly, and then introduce the recommendation of collaboration with academic social network, as well as academic social platform for support knowledge sharing and academic communication.更多还原