首页> 外文OA文献 >A longitudinal study of academic web links : identifying and explaining change
【2h】

A longitudinal study of academic web links : identifying and explaining change

机译:学术网站链接的纵向研究:识别和解释变化

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

A problem common to all current web link analyses is that, as the web is continuously evolving, any web-based study may be out of date by the time it is published in academic literature. It is therefore important to know how web link analyses results vary over time, with a low rate of variation lengthening the amount of time corresponding to a tolerable loss in quality. Moreover, given the lack of research on how academic web spaces change over time, from an information science perspective it would interesting to see what patterns and trends could be identified by longitudinal research and the study of university web links seems to provide a convenient means by which to do so. The aim of this research is to identify and track changes in three academic webs (UK, Australia and New Zealand) over time, tracking various aspects of academic webs including site size and overall linking characteristics, and to provide theoretical explanations of the changes found. This should therefore provide some insight into the stability of previous and future webometric analyses. Alternative Document Models (ADMs), created with the purpose of reducing the extent to which anomalies occur in counts of web links at the page level, have been used extensively within webometrics as an alternative to using the web page as the basic unit of analysis. This research carries out a longitudinal study of ADMs in an attempt to ascertain which model gives the most consistent results when applied to the UK, Australia and New Zealand academic web spaces over the last six years. The results show that the domain ADM gives the most consistent results with the directory ADM also giving more reliable results than are evident when using the standard page model. Aggregating at the site (or university) level appears to provide less consistent results than using the page as the standard unit of measure, and this finding holds true over all three academic webs and for each time period examined over the last six years. The question of whether university web sites publish the same kind of information and use the same kind of hyperlinks year on year is important from the perspective of interpreting the results of academic link analyses, because changes in link types over time would also force interpretations of link analyses to change over time. This research uses a link classification exercise to identify temporal changes in the distribution of different types of academic web links, using three academic web spaces in the years 2000 and 2006. Significant increases in ‘research oriented’, ‘social/leisure’ and ‘superficial’ links were identified as well as notable decreases in the ‘technical’ and ‘personal’ links. Some of these changes identified may be explained by general changes in the management of university web sites and some by more wide-spread Internet trends, e.g., dynamic pages, blogs and social networking. The increase in the proportion of research-oriented links is particularly hopeful for future link analysis research. Identifying quantitative trends in the UK, Australian and New Zealand academic webs from 2000 to 2005 revealed that the number of static pages and links in each of the three academic webs appears to have stabilised as far back as 2001. This stabilisation may be partly due to an increase in dynamic pages which are normally excluded from webometric analyses. In response to the problem for webometricians due to the constantly changing nature of the Internet, the results presented here are encouraging evidence that webometrics for academic spaces may have a longer-term validity than would have been previously assumed. The relationship between university inlinks and research activity indicators over time was examined, as well as the reasons for individual universities experiencing significant increases and decreases in inlinks over the last six years. The findings indicate that between 66% and 70% of outlinks remain the same year on year for all three academic web spaces, although this stability conceals large individual differences. Moreover, there is evidence of a level of stability over time for university site inlinks when measured against research. Surprisingly however, inlink counts can vary significantly from year to year for individual universities, for reasons unrelated to research, underlining that webometric results should be interpreted cautiously at the level of individual universities. Therefore, on average since 2001 the university web sites of the UK, Australia and New Zealand have been relatively stable in terms of size and linking patterns, although this hides a constant renewing of old pages and areas of the sites. In addition, the proportion of research-related links seems to be slightly increasing. Whilst the former suggests that webometric results are likely to have a surprisingly long shelf-life, perhaps closer to five years than one year, the latter suggests that webometrics is going to be increasingly useful as a tool to track research online. While there have already been many studies involving academic webs spaces, and much work has been carried out on the web from a longitudinal perspective, this thesis concentrates on filling a critical gap in current webometric research by combining the two and undertaking a longitudinal study of academic webs. In comparison with previous web-related longitudinal studies this thesis makes a number of novel contributions. Some of these stem from extending established webometric results, either by introducing a longitudinal aspect (looking at how various academic web metrics such as research activity indicators, site size or inlinks change over time) or by their application to other countries. Other contributions are made by combining traditional webometric methods (e.g. combining topical link classification exercises with longitudinal study) or by identifying and examining new areas for research (for example, dynamic pages and non-HTML documents). No previous web-based longitudinal studies have focused on academic links and so the main findings that (for UK, Australian and New Zealand academic webs between 2000 and 2006) certain academic link types exhibit changing patterns over time, approximately two-thirds of outlinks remain the same year on year and the number of static pages and links appears to have stabilised are both significant and novel.
机译:当前所有Web链接分析的共同问题是,随着Web的不断发展,任何基于Web的研究都可能在学术文献中发表时已经过时。因此,重要的是要知道Web链接分析结果如何随时间变化,而较低的变化率会延长与可忍受的质量损失相对应的时间。此外,由于缺乏关于学术网站空间如何随时间变化的研究,从信息科学的角度来看,有趣的是,可以通过纵向研究确定哪些模式和趋势,而大学网站链接的研究似乎提供了一种便捷的方法。这样做。这项研究的目的是随着时间的推移识别和跟踪三个学术网站(英国,澳大利亚和新西兰)的变化,跟踪学术网站的各个方面,包括站点大小和总体链接特征,并对发现的变化提供理论解释。因此,这应该为以前和将来的Web计量分析的稳定性提供一些见识。创建替代文件模型(ADM)的目的是减少页面级别Web链接计数中出现异常的程度,已在Webometrics中广泛使用,作为使用Web网页作为基本分析单位的替代方法。这项研究对ADM进行了纵向研究,以试图确定在过去的六年中,哪种模型在英国,澳大利亚和新西兰的学术网站空间中使用的结果最一致。结果表明,与使用标准页面模型时相比,域ADM提供的结果最一致,而目录ADM提供的结果更可靠。与使用页面作为标准度量单位相比,在站点(或大学)一级进行的聚合提供的结果似乎不一致,并且该发现在所有三个学术网站以及过去六年中的每个时间段均适用。从解释学术链接分析的结果来看,大学网站是否逐年发布相同类型的信息并使用相同类型的超链接这一问题非常重要,因为随着时间的推移链接类型的变化也会迫使对链接进行解释。分析以随时间变化。这项研究使用链接分类法来确定2000年和2006年的三个学术网站空间在不同类型的学术网站链接中的时间变化。“研究型”,“社交/休闲”和“肤浅型”的显着增加”链接被识别,“技术”和“个人”链接也明显减少。可以通过大学网站管理的一般变化来解释所识别出的这些变化中的某些,而可以通过更广泛的Internet趋势来解释某些变化,例如动态页面,博客和社交网络。面向研究的链接比例的增加对于未来的链接分析研究特别有希望。确定2000年至2005年英国,澳大利亚和新西兰学术网站的定量趋势后,发现三个学术网站中每一个的静态页面和链接的数量似乎早在2001年就已稳定。这种稳定的部分原因可能是由于动态网页的增加,而动态网页通常不包括在网络计量分析中。为了应对由于互联网性质不断变化而引起的网络计量学家的问题,此处给出的结果令人鼓舞,证明学术空间的网络计量学可能比以前的假设具有更长期的有效性。研究了大学内联与研究活动指标之间的关系,以及过去六年来个别大学内联内显着增加和减少的原因。调查结果表明,尽管三个网站的稳定性都掩盖了巨大的个体差异,但所有三个学术网站空间的出站率仍保持在同比的66%至70%之间。而且,有证据表明,相对于研究而言,大学站点链接在一段时间内具有一定的稳定性。但是,令人惊讶的是,由于与研究无关的原因,各大学的链接数每年之间可能会有很大差异,这强调了应该在各个大学的层次上谨慎地解释网络计量结果。因此,自2001年以来,英国,澳大利亚和新西兰的大学网站在规模和链接方式上平均保持相对稳定,尽管这掩盖了网站旧页面和区域的不断更新。此外,与研究相关的链接所占比例似乎略有增加。前者表明,网络计量结果的保质期可能非常长,也许比一年更接近五年,后者表明网络计量作为一种在线跟踪研究的工具将变得越来越有用。尽管已经有许多涉及学术网站空间的研究,并且已经从纵向的角度在网络上进行了大量工作,但本论文集中于填补当前网络计量学研究中的关键空白,方法是将两者结合起来并进行学术纵向研究网。与以前的网络相关纵向研究相比,本论文做出了许多新颖的贡献。其中一些源于通过引入纵向方面(查看各种学术网络指标(例如研究活动指标,网站规模或链接数如何随时间变化))或通过将其应用到其他国家来扩展已建立的网络度量结果。通过结合传统的网络计量方法(例如,将主题链接分类练习与纵向研究相结合)或通过识别和检查新的研究领域(例如,动态页面和非HTML文档),可以做出其他贡献。以前没有基于网络的纵向研究集中在学术链接上,因此主要发现(对于2000年至2006年间的英国,澳大利亚和新西兰学术网站而言)某些学术链接类型呈现出随时间变化的模式,大约三分之二的外部链接仍然存在与去年同期相比,静态页面和链接的数量似乎已稳定,这既有意义又新颖。

著录项

  • 作者

    Payne Nigel;

  • 作者单位
  • 年度 2007
  • 总页数
  • 原文格式 PDF
  • 正文语种 English
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号