计算机科学 ›› 2016, Vol. 43 ›› Issue (9): 52-56.doi: 10.11896/j.issn.1002-137X.2016.09.009
• 2015 年第三届CCF 大数据学术会议 • 上一篇 下一篇
傅城州,汤庸,贺超波,王津凌,袁成哲
FU Cheng-zhou, TANG Yong, HE Chao-bo, WANG Jin-ling and YUAN Cheng-zhe
摘要： 为面向学者的社交网络系统中的用户构建学术圈,对促进学者之间的交流具有重要的应用价值。根据学者之间的共同属性进行相似度计算,形成学术领域相似和研究课题相近的学术圈,能让学者们更加紧密和频繁地协同合作。提出了利用学者的学术信息提取代表个人特征的学术标签,并对不同类别标签的权重进行衡量,再通过相似度计算和聚类算法构建学术圈的方法。通过抓取学者社交网络平台SCHOLAT公开的学者信息进行实验,进而验证所提方法的可靠性和实用性。
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