Please wait a minute...
New Technology of Library and Information Service  2004, Vol. 20 Issue (7): 93-96    DOI: 10.11925/infotech.1003-3513.2004.07.26
Current Issue | Archive | Adv Search |
The Networks of Periodicals Subscribing and Its Applications
Ma Aifang
(Network Centre, Changsha University of Science and Technology, Hunan 410077, China)
Download:
Export: BibTeX | EndNote (RIS)      
Abstract  

Advantages and disadvantages of five networks of periodicals subscribing are introduced in this paper, and some proposals are also expounded.

Key words Periodicals subscribing      Network      Applications     
Received: 12 January 2004      Published: 25 July 2004
: 

G255.2

 
Corresponding Authors: Ma Aifang     E-mail: maf@c163.ne
About author:: Ma Aifang

Cite this article:

Ma Aifang. The Networks of Periodicals Subscribing and Its Applications. New Technology of Library and Information Service, 2004, 20(7): 93-96.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2004.07.26     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2004/V20/I7/93

1刊林网主页.http://www.lhzd.com/ (Accessed Nov.11,2003)
2马爱芳,林冬梅.非邮发报刊“联订服务”的利弊分析及改进建议.出版发行研究,20
02,(12):48-50
3期刊易订网主页.http://www.qked.com (Accessed Nov.11,2003)
4中国期刊订阅网概要.http://www.chinamag.com.cn/ (Accessed Nov.11,2003)
5 关于“中国期刊之窗”.http://www.presself.com/netorder/index.asp(Accessed
Nov.11,2003)
6期刊互动网产品与服务.http://www.cfanbook.com/(Accessed Nov.11,2003)
7 别立谦,何燕华.高校图书馆中文期刊采访工作的障碍及对策.大学图书馆学报,200
3,(4):53-57

[1] Lu Yunmeng,Liu Tiezhong. Diffusion Model for Tacit Knowledge of Scientific Cooperation Network Based on Relevance: Case Study of Major Sci-Tech Projects[J]. 数据分析与知识发现, 2021, 5(9): 10-20.
[2] Zhou Zeyu,Wang Hao,Zhao Zibo,Li Yueyan,Zhang Xiaoqin. Construction and Application of GCN Model for Text Classification with Associated Information[J]. 数据分析与知识发现, 2021, 5(9): 31-41.
[3] Fan Tao,Wang Hao,Wu Peng. Sentiment Analysis of Online Users' Negative Emotions Based on Graph Convolutional Network and Dependency Parsing[J]. 数据分析与知识发现, 2021, 5(9): 97-106.
[4] Wang Ruolin, Niu Zhendong, Lin Qika, Zhu Yifan, Qiu Ping, Lu Hao, Liu Donglei. Disambiguating Author Names with Embedding Heterogeneous Information and Attentive RNN Clustering Parameters[J]. 数据分析与知识发现, 2021, 5(8): 13-24.
[5] Wang Qinjie, Qin Chunxiu, Ma Xubu, Liu Huailiang, Xu Cunzhen. Recommending Scientific Literature Based on Author Preference and Heterogeneous Information Network[J]. 数据分析与知识发现, 2021, 5(8): 54-64.
[6] Gu Yaowen, Zhang Bowen, Zheng Si, Yang Fengchun, Li Jiao. Predicting Drug ADMET Properties Based on Graph Attention Network[J]. 数据分析与知识发现, 2021, 5(8): 76-85.
[7] Zhang Le, Leng Jidong, Lv Xueqiang, Cui Zhuo, Wang Lei, You Xindong. RLCPAR: A Rewriting Model for Chinese Patent Abstracts Based on Reinforcement Learning[J]. 数据分析与知识发现, 2021, 5(7): 59-69.
[8] Wang Xiwei,Jia Ruonan,Wei Yanan,Zhang Liu. Clustering User Groups of Public Opinion Events from Multi-dimensional Social Network[J]. 数据分析与知识发现, 2021, 5(6): 25-35.
[9] Ma Yingxue,Zhao Jichang. Patterns and Evolution of Public Opinion on Weibo During Natural Disasters: Case Study of Typhoons and Rainstorms[J]. 数据分析与知识发现, 2021, 5(6): 66-79.
[10] Gao Yilin,Min Chao. Comparing Technology Diffusion Structure of China and the U.S. to Countries Along the Belt and Road[J]. 数据分析与知识发现, 2021, 5(6): 80-92.
[11] Yu Bengong,Zhu Xiaojie,Zhang Ziwei. A Capsule Network Model for Text Classification with Multi-level Feature Extraction[J]. 数据分析与知识发现, 2021, 5(6): 93-102.
[12] Chen Wenjie,Wen Yi,Yang Ning. Fuzzy Overlapping Community Detection Algorithm Based on Node Vector Representation[J]. 数据分析与知识发现, 2021, 5(5): 41-50.
[13] Han Pu,Zhang Zhanpeng,Zhang Mingtao,Gu Liang. Normalizing Chinese Disease Names with Multi-feature Fusion[J]. 数据分析与知识发现, 2021, 5(5): 83-94.
[14] Li Yueyan,Wang Hao,Deng Sanhong,Wang Wei. Research Trends of Information Retrieval——Case Study of SIGIR Conference Papers[J]. 数据分析与知识发现, 2021, 5(4): 13-24.
[15] Wang Nan,Li Hairong,Tan Shuru. Predicting of Public Opinion Reversal with Improved SMOTE Algorithm and Ensemble Learning[J]. 数据分析与知识发现, 2021, 5(4): 37-48.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn