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机构地区:[1]华中师范大学信息管理学院,武汉430079 [2]武汉大学信息资源研究中心,武汉430072
出 处:《情报学报》2018年第1期76-85,共10页Journal of the China Society for Scientific and Technical Information
基 金:国家自然科学基金"基于‘排名分析-特征识别’的应急决策专家发现"(71740012);国家社会科学基金重大项目"基于多维度聚合的网络资源知识发现研究"(13&ZD183)
摘 要:布拉德福定律是定量测定学科间联系程度和描述相关论文在所载期刊中的数量分布的重要经验法则,已有研究表明该经验法则依然适用于解读网络学术资源的分布,但较少关联到社交博客标签。为此,以2013-2016Meta Filter music版块标签资源为分析单元,描述标签频次及类别分布特征,求解标签频次分布曲线拟合方程;三等分标签词集合,利用积分函数获取高频、中频和低频区间的边界,并证明各区间标签类别分布服从布拉德福定律;证实标签关联用户和资源在各区间的均衡分布,对比验证不同语义环境下标签布氏分布的稳定性,相关研究可用于社交博客核心节点群的发现与预测。Bradford's law is an important rule of thumb to quantitatively determine the degree of interdisciplinary connection and describe the number of distribution of related papers in journals. The empirical rule can still be ap- plied to the distribution of network academic resources, but less research is linked to tag distribution in the social blog. Selecting the social tags in the MetaFilter music section from 2013 to 2016 as an analysis unit, this paper first described the distribution feature of the tag frequency and tag type, and solved the curve fitting equation of the tag frequency distribution. Second, the authors have used the integral function to obtain the boundaries of the high-frequency interval, intermediate frequency interval, and low-frequency interval, and then verified the consis- tency of the distribution of the tag category in each interval with Bradford's law. Finally, the stability of the tag in- terval distribution is further verified through the relatively balanced distribution of users and posts related to the tags in each interval and the comparative analysis under different semantic environments. This study can be used to de- termine and forecast the core nodes of social blogs.
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