基于社交媒体的高影响力跨学科用户发现研究

发布时间：2018-01-29 09:51

本文关键词： 跨学科研究社交媒体跨学科用户发现标签隐含狄利克雷分布　出处：《情报学报》2017年06期 　论文类型：期刊论文

【摘要】：社交媒体环境中非正式学术交流与正式学术交流相互补充,已共同构成了有机的科学交流整体,探讨社交媒体中跨学科高影响力用户不仅可以作为正式交流中结构规律认识的补充与完善,还有助于社交媒体上普通用户或新用户快速与高影响力用户交流寻得帮助。但现有跨学科用户研究大多依据科技文献来进行,并不能有效地发现社交网络上跨学科用户。为此,我们结合科技文献的领域分类语料,在科学网博客平台上进行跨学科高影响力用户发现。首先我们基于领域科技文献语料,完成科学网博文的学科领域划分,然后根据博文的学科分类计算用户学科属性及跨学科专业度,最后根据用户跨学科高影响力模型得到跨学高影响力科用户。这为社交媒体上跨学科用户发现提供了一定的借鉴。
[Abstract]:In the social media environment, informal academic exchanges and formal academic exchanges complement each other, which have formed an organic whole of scientific communication. To explore the interdisciplinary and high-impact users in social media can not only be used as a complement and perfection to the understanding of structural law in formal communication. It also helps average or new users on social media quickly communicate with high-impact users for help. But existing interdisciplinary user research is mostly based on the scientific literature. It is not effective to find interdisciplinary users on social networks. For this reason, we combine the domain classification data of scientific literature. On the platform of ScienceNet blog, we carry out interdisciplinary and high-impact user discovery. Firstly, we complete the division of the subject domain of ScienceNet blog based on the scientific literature corpus. Then, according to the subject classification of the blog, the user's subject attribute and the interdisciplinary professional degree are calculated. Finally, according to the user interdisciplinary high-impact model, cross-academic high-impact users are obtained, which provides a certain reference for cross-disciplinary user discovery on social media.
【作者单位】：安徽财经大学管理科学与工程学院;南京理工大学信息管理系;
【基金】：教育部人文社会科学研究青年基金项目“社交媒体视角下学科交叉主题识别与追踪研究”(16YJCZH116) 安徽省教育厅人文社科“基于社交网络的交叉学科知识发现及其应用研究”(SK2016A0025)
【分类号】：G350
【正文快照】： 1引言2016年1月,国务院办公厅发布了关于优化学术环境的指导意见(国办发[2015]94号)指出,“充分发挥国家科技计划在促进学科交叉、跨界融合中的平台作用,推动跨团队、跨机构、跨学科、跨领域协同创新”。可见,跨学科研究现已成为学术界关注的焦点。在进入Web2.0与Science2.0时

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