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现代图书情报技术  2015, Vol. 31 Issue (7-8): 13-23    DOI: 10.11925/infotech.1003-3513.2015.07.03
  专题 本期目录 | 过刊浏览 | 高级检索 |
学术博客的学科交互实证分析——以科学网博客为例
许鑫1, 翟姗姗2, 姚占雷1
1 华东师范大学商学院信息学系 上海 200241;
2 华中师范大学信息管理学院 武汉 430079
Disciplinary Interaction Analysis of Academic Blogs——Taking ScienceNet.cn Blog as an Example
Xu Xin1, Zhai Shanshan2, Yao Zhanlei1
1 Department of Information Science, Business School, East China Normal University, Shanghai 200241, China;
2 School of Information Management, Central China Normal University, Wuhan 430079, China
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摘要 

目的】通过分析学术博客社区中的推荐和评论数据的, 探究网络学术社区中的学科间交互。【方法】利用社会网络分析方法, 对科学网博客2013全年数据进行学科推荐网络和学科评论网络的整体网络、局部网络、个体网络分析。【结果】交互方式上, 推荐行为比评论行为更为频繁; 交互网络的中心性上, 学科推荐矩阵和学科评论矩阵在点入中心性、点出中心性和内接近中心性上呈显著差异, 而在中间中心性和外接近中心性上无显著差异; 交互参数相关性上, 学科推荐数与学科推荐网络参数的相关性和学科评论数与学科评论网络参数的相关性表现一致。【局限】部分中心性较高的学科节点与其他学科之间的交互缺少深层次解读。【结论】学术博客具有承载不同学科学者之间的低门槛、多元化、大跨度交流的特点。

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Abstract

[Objective] By analyzing the academic blog recommendations and comments, this research explores interdisciplinary interaction in the online academic community. [Methods] The whole data set in 2013 of ScienceNet.cn Blog is collected firstly. Then the overall network, the local network, and the individual network about disciplines recommendation networks and disciplines comments networks are analyzed by social network analysis method. [Results] The research discovers that recommendations behavior is more frequently than comments behavior on the interaction mode. On the centrality of interaction network, disciplines recommendation matrix has significant differences from disciplines comments matrix in the in-degree centrality, out-degree centrality and in-closeness centrality, and there is no significant difference from disciplines comments matrix in betweenness centrality and out-closeness centrality. On the interaction parameter correlation, the correlation of disciplines recommendation numbers and disciplines recommendation network parameters is similar to the correlation of disciplines comments numbers and disciplines comments network parameters. [Limitations] The deep explanation of interaction is lack between discipline nodes with high degree centrality and the other nodes. [Conclusions] The academic blog is diversified and has a low threshold, large-span effect of exchange between scholars of different disciplines.

收稿日期: 2014-11-26     
:  G203  
通讯作者: 许鑫, ORCID: 0000-0001-7020-3135, E-mail: xxu@infor.ecnu.edu.cn。     E-mail: xxu@infor.ecnu.edu.cn
作者简介: 作者贡献声明: 许鑫: 提出研究思路, 论文起草和修订; 翟姗姗: 社会网络分析计算及可视化; 姚占雷: 数据采集和整理, 论文修改。
引用本文:   
许鑫, 翟姗姗, 姚占雷. 学术博客的学科交互实证分析——以科学网博客为例[J]. 现代图书情报技术, 2015, 31(7-8): 13-23.
Xu Xin, Zhai Shanshan, Yao Zhanlei. Disciplinary Interaction Analysis of Academic Blogs——Taking ScienceNet.cn Blog as an Example. New Technology of Library and Information Service, DOI:10.11925/infotech.1003-3513.2015.07.03.
链接本文:  
http://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2015.07.03

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