SARank:一种学术社交网络用户影响力分析模型-《计算机技术与发展》

文章信息/Info

Author(s):: GU Rui-chun; WANG Jing-yu; Inner Mongolia University of Science and Technology,Baotou 014010,China

Keywords:: scholar social network; influence analysis; altmetrics; data science; user generated content

摘要:: 社交网络作为联系现实社会与网络社会的重要途径,已经成为人们日常使用最为广泛的网络应用。目前,国内外各大社交网络均拥有大量的活跃用户,并且用户数量仍在不断上升。由众多用户不断产生的大量数据,已经成为数据分析领域新的研究热点。而基于社交网络的科研信息共享协作平台,也十分受科研工作者们的青睐。同样,在学术社交网络中不断产生的大量数据中也隐含着十分重要的信息,有着极大的研究价值。因此,以学术社交网络中海量的用户数据为研究对象,以大数据分析处理技术为基础,结合科研领域相关参数以及社交网络中信息传播的相关指标,提出一种多元化的科研用户影响力计算模型-SARank。通过学术社交网络中的数据对科研用户影响力进行量化分析,形成一种新的科研评价参考指标。经过实验分析,得出了有益结论。

Abstract:: As an important connection of the real life and the virtual network space,the SNS (social network services) is becoming the most widely used network applications in daily life. At present,there are lots of active users with rising number in the most famous social networks. The huge volume contents generated by many users all the time have become a new research hotspot of the data analysis field.The scientific information sharing and collaborating platform based on social network has being favored very much by the scientific researchers. There are many potential precious information in the UGC (user generated contents) of the academic social network,with great research values of them. Therefore,taking the massive user data as an object in the scholar social network,based on the big data analyzing and processing technology,combined with the parameters of the scientific research field and the information communication indexes of the academic social network,we propose an altmetrics (alternative metric) scientific research user influence analysis model named SARank.
It could be used in the quantitative computing of the scientific user influence of the scholar social network,forming a new reference indicator of the scientific research evaluation system. Some useful conclusions are obtained through the analysis and explanation of the experi ment.