Analysis of user accessing behavior based on traffic statistics of seismic industry website

Taking the website of China Earthquake Networks Center as an example,this paper collects traffic statistics for one year. In terms of website traffic trends,user source channels,access paths,and visitor conditions,we systematically analyze user accessing behaviors. The conclusions have been applied...

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Bibliographic Details
Main Authors: Nan Xiang, Manfeng Cui, Lei Lei
Format: Article
Language:zho
Published: Editorial Office of Progress in Earthquake Sciences 2020-12-01
Series:地震科学进展
Subjects:
Online Access:https://www.gjdzdt.cn/en/article/doi/10.3969/j.issn.2096-7780.2020.12.004
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author Nan Xiang
Manfeng Cui
Lei Lei
author_facet Nan Xiang
Manfeng Cui
Lei Lei
author_sort Nan Xiang
collection DOAJ
description Taking the website of China Earthquake Networks Center as an example,this paper collects traffic statistics for one year. In terms of website traffic trends,user source channels,access paths,and visitor conditions,we systematically analyze user accessing behaviors. The conclusions have been applied to its next stage website revision. The mode,which takes the accurate analysis of user behavior based on big data as decision basis for the website revision and upgrading continuously,provides new ideas of operation and maintenance for other seismic industry websites.
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spelling doaj.art-ea9f357aa70040d0af4e666875ae507e2023-03-28T06:56:52ZzhoEditorial Office of Progress in Earthquake Sciences地震科学进展2096-77802020-12-015012202710.3969/j.issn.2096-7780.2020.12.0042020-048xiangnanAnalysis of user accessing behavior based on traffic statistics of seismic industry websiteNan Xiang0Manfeng Cui1Lei Lei2China Earthquake Networks Center,Beijing 100045,ChinaChina Earthquake Networks Center,Beijing 100045,ChinaChina Earthquake Networks Center,Beijing 100045,ChinaTaking the website of China Earthquake Networks Center as an example,this paper collects traffic statistics for one year. In terms of website traffic trends,user source channels,access paths,and visitor conditions,we systematically analyze user accessing behaviors. The conclusions have been applied to its next stage website revision. The mode,which takes the accurate analysis of user behavior based on big data as decision basis for the website revision and upgrading continuously,provides new ideas of operation and maintenance for other seismic industry websites.https://www.gjdzdt.cn/en/article/doi/10.3969/j.issn.2096-7780.2020.12.004seismic industry websitetraffic statisticsaccessing behaviordecision basis
spellingShingle Nan Xiang
Manfeng Cui
Lei Lei
Analysis of user accessing behavior based on traffic statistics of seismic industry website
地震科学进展
seismic industry website
traffic statistics
accessing behavior
decision basis
title Analysis of user accessing behavior based on traffic statistics of seismic industry website
title_full Analysis of user accessing behavior based on traffic statistics of seismic industry website
title_fullStr Analysis of user accessing behavior based on traffic statistics of seismic industry website
title_full_unstemmed Analysis of user accessing behavior based on traffic statistics of seismic industry website
title_short Analysis of user accessing behavior based on traffic statistics of seismic industry website
title_sort analysis of user accessing behavior based on traffic statistics of seismic industry website
topic seismic industry website
traffic statistics
accessing behavior
decision basis
url https://www.gjdzdt.cn/en/article/doi/10.3969/j.issn.2096-7780.2020.12.004
work_keys_str_mv AT nanxiang analysisofuseraccessingbehaviorbasedontrafficstatisticsofseismicindustrywebsite
AT manfengcui analysisofuseraccessingbehaviorbasedontrafficstatisticsofseismicindustrywebsite
AT leilei analysisofuseraccessingbehaviorbasedontrafficstatisticsofseismicindustrywebsite