Study on Author Cooperation Relationship Based on Data Mining

DOI

10.2991/sekeie-14.2014.30How to use a DOI?

Keywords

Data mining; author cooperation relationship; social network analysis

Abstract

In order to explore authors’ cooperation relationship of application of research methods of information science in our country, this paper made a detailed statistics and analysis based on data mining on all the papers of 19 kinds of core journals about Library and Information Science from 2008 to 2012. Through the analysis of existing core authors’ cooperative relationship and potential relationship, the author summarizes the characteristics and the deficiencies of the authors’ cooperative relationship and provides an important basis for cooperation and exchanges in the field.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hongfei Sun
AU  - Fang Wang
AU  - Wei Hou
PY  - 2014/03
DA  - 2014/03
TI  - Study on Author Cooperation Relationship Based on Data Mining
BT  - Proceedings of the 2nd International Conference on Software Engineering, Knowledge Engineering and Information Engineering (SEKEIE 2014)
PB  - Atlantis Press
SP  - 127
EP  - 130
SN  - 1951-6851
UR  - https://doi.org/10.2991/sekeie-14.2014.30
DO  - 10.2991/sekeie-14.2014.30
ID  - Sun2014/03
ER  -