|
|
|
| Algorithms and Features Analysis of Database Complex Networks |
| Li Chun-fang①③ Liu Lian-zhong② Liu Zhen-guo③ |
①(School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China)
②(School of Computer Science and Engineering, Beihang University, Beijing 100191, China)
③(Network Center, Hebei Institute of Physical Education, Shijiazhuang 050041, China) |
|
|
|
|
Abstract DataBase Complex Networks (DBCN) is a kind of metric for management information systems, which provides a simplified and visualized description of business logic and a self-introduced documentary. To extract DBCNs, two algorithms are proposed: (1) based on the primary and foreign key associations of database tables algorithm; (2) based on the hidden semanteme associations algorithm and its extension. Through the analysis on 9 software databases, the statistical features of DBCN are investigated and found that in-degree distribution is more disperse than that of out-degree, and tables with greater in-degree are the backbone nodes. In order to accurately construct DBCN to facilitate the software engineering, a group of naming criteria is proposed for hidden semanteme associations.
|
|
Received: 26 April 2012
|
|
|
|
Corresponding Authors:
Li Chun-fang
E-mail: LCF1974@126.com
|
|
|
|
|
|
|
2012, Vol. 34 
