Please wait a minute...
Data Analysis and Knowledge Discovery  2017, Vol. 1 Issue (8): 31-38    DOI: 10.11925/infotech.2096-3467.2017.0511
Orginal Article Current Issue | Archive | Adv Search |
Analyzing Private College Students’ Online Lifestyle with Web-logs
Runwen Chen,Yong Qiu(),Wenbin Huang,Jun Wang
Department of Information Management, Peking University, Beijing 100871, China
Download: PDF(1403 KB)   HTML ( 3
Export: BibTeX | EndNote (RIS)      

[Objective] This study reveals the private colleage students’ typical online life styles based on their usage of a navigational Web portal. [Methods] First, we collected the click and search data of the navigation page specifically designed for students. Then, we modeled the data and applied the K-means cluster algorithm to categorize the student behaviors. [Results] We found six major behaviors among private college students. However, these students mainly use the Web to watch videos, while only a small number of students use the Web to learn. [Limitations] The size and dimensions of the data need to be expanded. [Conclusions] This study identifies typical online life styles of private college students, which could help schools improve their administraion and services.

Key wordsPrivate College      Log Analysis      Cluster Analysis     
Received: 31 May 2017      Published: 26 July 2017

Cite this article:

Runwen Chen,Yong Qiu,Wenbin Huang,Jun Wang. Analyzing Private College Students’ Online Lifestyle with Web-logs. Data Analysis and Knowledge Discovery, 2017, 1(8): 31-38.

URL:     OR

[1] 孙竞, 熊旭. 2016年全国民办学校17.1万所在校学生突破4825万人 [EB/OL]. [2017-01-18]. .
[1] (Sun Jing, Xiong Xu. The Number of Private Colleges has Reached 171,000 by 2016, with More than 48.25 Million Students [EB/OL]. [2017-01-18].
[2] 戚良艳, 许月英. 上海民办高校学生闲暇生活调查与分析[J]. 浙江树人大学学报:人文社会科学版, 2010(4): 124-128.
[2] (Qi Liangyan, Xu Yueying.An Investigation and Analysis of Students’ Leisure Life in Private Colleges and Universities in Shanghai[J]. Journal of Zhejiang Shuren University: Humanities and Social Sciences, 2010(4): 124-128.)
[3] 朱云汉. 论民办高校大学生网络学习行为[J]. 中国成人教育, 2015(14): 136-137.
[3] (Zhu Yunhan.Behavior of Private College Students’ Online Learning[J]. China Adult Education, 2015(14): 136-137.)
[4] 林红. 民办与普通高校学生网络依赖状况的比较研究[J]. 青少年研究(山东省团校学报), 2008(6): 24-28.
[4] (Lin Hong.A Comparative Study on the Internet Dependence of Private College Students[J]. Youth and Adolescence Studies, 2008(6): 24-28.)
[5] 王继民, 彭波. 搜索引擎用户访问量模型[J]. 计算机工程与应用, 2004, 40(25): 9-11.
[5] (Wang Jimin, Peng Bo.Modeling Quantity of Users/Access for Search Engine[J]. Computer Engineering and Applications, 2004, 40(25): 9-11.)
[6] Srikant R, Agrawal R.Mining Quantitative Association Rules in Large Relational Tables[J]. ACM SIGMOD Record, 1996, 25(2): 1-12.
[7] 王敏. 基于行为日志数据的MOOC学习者学习行为分析研究[D]. 上海: 华东师范大学, 2016.
[7] (Wang Min.Research on MOOC Learning Behavior Based on Behavior Log Data [D]. Shanghai: East China Normal University, 2016.)
[8] 张玉峰, 何超. 基于Web日志挖掘的网络动态竞争情报分析研究[J]. 情报理论与实践, 2011, 34(9): 51-53.
[8] (Zhang Yufeng, He Chao.Research on Dynamic Competitive Intelligence Analysis Based on Web Log Mining[J]. Information Studies: Theory & Application, 2011, 34(9): 51-53.)
[9] 张文君, 王军, 徐山川. 电商用户需求状态的聚类分析——以淘宝网女装为例[J]. 现代图书情报技术, 2015 (3): 67-74.
[9] (Zhang Wenjun, Wang Jun, Xu Shanchuan.Clustering Analysis of Demand State of E-commerce Users - Taking Taobao Women’s Clothing as an Example[J]. New Technology of Library and Information Service, 2015 (3): 67-74.)
[10] Prasad P, Malik L G.Generating Customer Profiles for Retail Stores Using Clustering Tech[J]. International Journal on Computer Science & Engineering, 2011, 3(6): 2506-2510.
[11] Moe W W.Buying, Searching, or Browsing: Differentiating Between Online Shoppers Using In-Store Navigational Clickstream[J]. Journal of Consumer Psychology, 2003, 13(1-2): 29-39.
[12] 于亚秀. 基于Web日志挖掘的个性化服务研究[D]. 上海: 华东师范大学, 2009.
[12] (Yu Yaxiu.Research on Personalized Service Based on Web Usage Mining [D]. Shanghai: East China Normal University, 2009.)
[13] Jain A K.Data Clustering: 50 Years Beyond K-means[J]. Pattern Recognition Letters, 2010, 31(8): 651-666.
[1] Dongmei Mu,Shan Jin,Yuanhong Ju. Finding Association Between Diseases and Genes from Literature Abstracts[J]. 数据分析与知识发现, 2018, 2(8): 98-106.
[2] Xiang Zhou,Pengyi Zhang,Jun Wang. Impacts of Information Browsing Behaviors on Mobile Shopping: Case Study of Commerce APP Click Stream Analysis[J]. 数据分析与知识发现, 2018, 2(4): 1-9.
[3] Xinyue Fan,Lei Cui. Using Text Mining to Discover Drug Side Effects: Case Study of PubMed[J]. 数据分析与知识发现, 2018, 2(3): 79-86.
[4] Yue He,Aixin Wang,Yue Feng,Li Wang. Optimizing Layouts of Outpatient Pharmacy Based on Association Rules[J]. 数据分析与知识发现, 2018, 2(1): 99-108.
[5] Xueying Wang,Zixuan Zhang,Hao Wang,Sanhong Deng. Evaluating Brands of Agriculture Products: A Literature Review[J]. 数据分析与知识发现, 2017, 1(7): 13-21.
[6] Jiawang Cui,Chunwang Li. Identifying Semantic Relations of Clusters Based on Linked Data[J]. 数据分析与知识发现, 2017, 1(4): 57-66.
[7] Chen He. Using Logstash and ElasticSearch to Achieve Real-time Statistical Analysis of DSpace Logs[J]. 现代图书情报技术, 2015, 31(5): 88-93.
[8] Chen Yong, Li Honglian, Lv Xueqiang. Analysis for the Search Behavior of Web Users[J]. 现代图书情报技术, 2014, 30(12): 10-17.
[9] Li Beiwei, Xu Yue, Shan Jimin, Wei Changlong, Zhang Xinqi, Fu Jinxin. Study on Network Information Ecological Chain of Chinese Shopping Websites[J]. 现代图书情报技术, 2013, 29(9): 67-73.
[10] Liang Changyong, Wang Qianqian, Lu Wenxing, Ding Yong. The Online Comments Signature Words Selection with the Title and Description of Goods[J]. 现代图书情报技术, 2011, 27(5): 49-54.
[11] Tong Yifu, Huang Chunyi. Research on Data Mining of Complex Multi-dimensional Fingerprint Data of TCM[J]. 现代图书情报技术, 2011, 27(12): 69-73.
[12] Qiu Yuhong,Guo Jijun. Application of Vector Space Model in the Similarity Research of Medical Literature[J]. 现代图书情报技术, 2007, 2(7): 63-67.
[13] in Ying,Deng Sanhong . Cited-Keywords Clustering of China Social Science Disciplines[J]. 现代图书情报技术, 2006, 1(9): 43-48.
[14] Qin Jian,Javier Calzada Prado. Use of Learning Object Vocabulary in GEM Queries[J]. 现代图书情报技术, 2006, 22(1): 44-46.
[15] Jiang Chuanju. The Function of Log Analysis in Network Security[J]. 现代图书情报技术, 2004, 20(12): 58-60.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938