使用网络分析评估曼德拉门户网站的流量：以非洲国家为例

Q2 Social Sciences

New Review of Information Networking Pub Date : 2018-07-03 DOI:10.1080/13614576.2018.1523741

S. Katuu

{"title":"使用网络分析评估曼德拉门户网站的流量：以非洲国家为例","authors":"S. Katuu","doi":"10.1080/13614576.2018.1523741","DOIUrl":null,"url":null,"abstract":"ABSTRACT This article is a longitudinal assessment of the visitors to the Mandela Portal between 2009 and 2016. It is based on web analytics methodology that consists of a four-step process with the first and second steps using data collected by Google Analytics tool. The article outlines trends of global figures as well as specific trends within the top ten African countries. It further explored statistics from the top five African countries: South Africa, Kenya, Nigeria, Tanzania, and Ghana. There are two main findings: those related to web traffic trends and those exploring the trustworthiness of Google Analytics data.","PeriodicalId":35726,"journal":{"name":"New Review of Information Networking","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/13614576.2018.1523741","citationCount":"2","resultStr":"{\"title\":\"Using Web Analytics to Assess Traffic to the Mandela Portal: The Case of African Countries\",\"authors\":\"S. Katuu\",\"doi\":\"10.1080/13614576.2018.1523741\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT This article is a longitudinal assessment of the visitors to the Mandela Portal between 2009 and 2016. It is based on web analytics methodology that consists of a four-step process with the first and second steps using data collected by Google Analytics tool. The article outlines trends of global figures as well as specific trends within the top ten African countries. It further explored statistics from the top five African countries: South Africa, Kenya, Nigeria, Tanzania, and Ghana. There are two main findings: those related to web traffic trends and those exploring the trustworthiness of Google Analytics data.\",\"PeriodicalId\":35726,\"journal\":{\"name\":\"New Review of Information Networking\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/13614576.2018.1523741\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"New Review of Information Networking\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/13614576.2018.1523741\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"New Review of Information Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/13614576.2018.1523741","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Social Sciences","Score":null,"Total":0}

引用次数: 2

摘要

本文对2009年至2016年曼德拉门户网站的访问者进行了纵向评估。它基于web分析方法，包括四步过程，第一和第二步使用谷歌分析工具收集的数据。这篇文章概述了全球数字的趋势以及非洲前十大国家的具体趋势。它进一步研究了非洲五大国家的统计数据:南非、肯尼亚、尼日利亚、坦桑尼亚和加纳。有两个主要的发现:那些与网络流量趋势有关的发现，以及那些探索谷歌Analytics数据可信度的发现。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Using Web Analytics to Assess Traffic to the Mandela Portal: The Case of African Countries

ABSTRACT This article is a longitudinal assessment of the visitors to the Mandela Portal between 2009 and 2016. It is based on web analytics methodology that consists of a four-step process with the first and second steps using data collected by Google Analytics tool. The article outlines trends of global figures as well as specific trends within the top ten African countries. It further explored statistics from the top five African countries: South Africa, Kenya, Nigeria, Tanzania, and Ghana. There are two main findings: those related to web traffic trends and those exploring the trustworthiness of Google Analytics data.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

New Review of Information Networking Social Sciences-Education

CiteScore

2.10

自引率

0.00%

发文量

期刊介绍： Information networking is an enabling technology with the potential to integrate and transform information provision, communication and learning. The New Review of Information Networking, published biannually, provides an expert source on the needs and behaviour of the network user; the role of networks in teaching, learning, research and scholarly communication; the implications of networks for library and information services; the development of campus and other information strategies; the role of information publishers on the networks; policies for funding and charging for network and information services; and standards and protocols for network applications.