[目的/意义] 虚拟学术社区的兴起为科研工作者们进行合作交流、参与同行评议、分享自己研究成果提供了新渠道。面对Science 2.0环境下海量学术信息的分散性、碎片性和时效性，如何推动科研工作者利用虚拟学术社区进行快速、高效的知识共享成为大数据时代的重要课题。[方法/过程] 以科学网为例，运用社会网络分析法挖掘虚拟学术社区中的意见领袖，通过计算中心度和影响力系数等指标，指出意见领袖在知识共享中起到的重要作用，据此设计虚拟学术社区成员关系模型，并进一步分析影响知识共享的主要因素。[结果/结论] 构建了虚拟学术社区知识共享路径，实现了线上和线下协同发展，提高了知识的耦合性和重用性，进而推动科研创新。

[Purpose/significance] The rise of virtual academic community provides a new channel for researchers to cooperate and exchange, participate in peer review, and share their research results. Faced with the dispersion, fragmentation and timeliness of the vast amount of academic information in science 2.0 environment, how to promote the rapid and efficient knowledge sharing among researchers with virtual academic community has become an important issue in the era of big data. [Method/process] This paper took the scientific network as an example, used the social network analysis method to dig the opinion leader in the virtual academic community, and pointed out the opinion leader plays an important role in the knowledge sharing by calculating the centrality and influence coefficient and so on. Finally, it designed the virtual academic community member relation model, and further analyzed the main factors that affect the knowledge sharing. [Result/conclusion] It constructed the knowledge sharing path of virtual academic community, realized the collaborative development of online and offline, improved the coupling and reuse of knowledge, and promote scientific innovation.