Search (44 results, page 1 of 3)

  • × author_ss:"Thelwall, M."
  1. Thelwall, M.: Can Google's PageRank be used to find the most important academic Web pages? (2003) 0.01 
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    Source
    Journal of documentation. 59(2003) no.2, S.205-217
  2. Thelwall, M.; Ruschenburg, T.: Grundlagen und Forschungsfelder der Webometrie (2006) 0.01 
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    Date
    4.12.2006 12:12:22
    Theme
    Internet
  3. Thelwall, M.; Buckley, K.; Paltoglou, G.: Sentiment in Twitter events (2011) 0.01 
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    Date
    22. 1.2011 14:27:06
    Theme
    Internet
  4. Shifman, L.; Thelwall, M.: Assessing global diffusion with Web memetics : the spread and evolution of a popular joke (2009) 0.00 
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    Abstract
    Memes are small units of culture, analogous to genes, which flow from person to person by copying or imitation. More than any previous medium, the Internet has the technical capabilities for global meme diffusion. Yet, to spread globally, memes need to negotiate their way through cultural and linguistic borders. This article introduces a new broad method, Web memetics, comprising extensive Web searches and combined quantitative and qualitative analyses, to identify and assess: (a) the different versions of a meme, (b) its evolution online, and (c) its Web presence and translation into common Internet languages. This method is demonstrated through one extensively circulated joke about men, women, and computers. The results show that the joke has mutated into several different versions and is widely translated, and that translations incorporate small, local adaptations while retaining the English versions' fundamental components. In conclusion, Web memetics has demonstrated its ability to identify and track the evolution and spread of memes online, with interesting results, albeit for only one case study.
    Theme
    Internet
  5. Thelwall, M.: ¬A comparison of sources of links for academic Web impact factor calculations (2002) 0.00 
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    Abstract
    There has been much recent interest in extracting information from collections of Web links. One tool that has been used is Ingwersen's Web impact factor. It has been demonstrated that several versions of this metric can produce results that correlate with research ratings of British universities showing that, despite being a measure of a purely Internet phenomenon, the results are susceptible to a wider interpretation. This paper addresses the question of which is the best possible domain to count backlinks from, if research is the focus of interest. WIFs for British universities calculated from several different source domains are compared, primarily the .edu, .ac.uk and .uk domains, and the entire Web. The results show that all four areas produce WIFs that correlate strongly with research ratings, but that none produce incontestably superior figures. It was also found that the WIF was less able to differentiate in more homogeneous subsets of universities, although positive results are still possible.
    Theme
    Internet
  6. Thelwall, M.; Vaughan, L.: Webometrics : an introduction to the special issue (2004) 0.00 
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    Theme
    Internet
  7. Thelwall, M.: Extracting macroscopic information from Web links (2001) 0.00 
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    Abstract
    Much has been written about the potential and pitfalls of macroscopic Web-based link analysis, yet there have been no studies that have provided clear statistical evidence that any of the proposed calculations can produce results over large areas of the Web that correlate with phenomena external to the Internet. This article attempts to provide such evidence through an evaluation of Ingwersen's (1998) proposed external Web Impact Factor (WIF) for the original use of the Web: the interlinking of academic research. In particular, it studies the case of the relationship between academic hyperlinks and research activity for universities in Britain, a country chosen for its variety of institutions and the existence of an official government rating exercise for research. After reviewing the numerous reasons why link counts may be unreliable, it demonstrates that four different WIFs do, in fact, correlate with the conventional academic research measures. The WIF delivering the greatest correlation with research rankings was the ratio of Web pages with links pointing at research-based pages to faculty numbers. The scarcity of links to electronic academic papers in the data set suggests that, in contrast to citation analysis, this WIF is measuring the reputations of universities and their scholars, rather than the quality of their publications
    Theme
    Internet
  8. Vaughan, L.; Thelwall, M.: Scholarly use of the Web : what are the key inducers of links to journal Web sites? (2003) 0.00 
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    Abstract
    Web links have been studied by information scientists for at least six years but it is only in the past two that clear evidence has emerged to show that counts of links to scholarly Web spaces (universities and departments) can correlate significantly with research measures, giving some credence to their use for the investigation of scholarly communication. This paper reports an a study to investigate the factors that influence the creation of links to journal Web sites. An empirical approach is used: collecting data and testing for significant patterns. The specific questions addressed are whether site age and site content are inducers of links to a journal's Web site as measured by the ratio of link counts to Journal Impact Factors, two variables previously discovered to be related. A new methodology for data collection is also introduced that uses the Internet Archive to obtain an earliest known creation date for Web sites. The results show that both site age and site content are significant factors for the disciplines studied: library and information science, and law. Comparisons between the two fields also show disciplinary differences in Web site characteristics. Scholars and publishers should be particularly aware that richer content an a journal's Web site tends to generate links and thus the traffic to the site.
    Theme
    Internet
  9. Thelwall, M.: Results from a web impact factor crawler (2001) 0.00 
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    Abstract
    Web impact factors, the proposed web equivalent of impact factors for journals, can be calculated by using search engines. It has been found that the results are problematic because of the variable coverage of search engines as well as their ability to give significantly different results over short periods of time. The fundamental problem is that although some search engines provide a functionality that is capable of being used for impact calculations, this is not their primary task and therefore they do not give guarantees as to performance in this respect. In this paper, a bespoke web crawler designed specifically for the calculation of reliable WIFs is presented. This crawler was used to calculate WIFs for a number of UK universities, and the results of these calculations are discussed. The principal findings were that with certain restrictions, WIFs can be calculated reliably, but do not correlate with accepted research rankings owing to the variety of material hosted on university servers. Changes to the calculations to improve the fit of the results to research rankings are proposed, but there are still inherent problems undermining the reliability of the calculation. These problems still apply if the WIF scores are taken on their own as indicators of the general impact of any area of the Internet, but with care would not apply to online journals.
    Theme
    Internet
  10. Thelwall, M.: Directing students to new information types : a new role for Google in literature searches? (2005) 0.00 
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    Series
    Internet reference services quarterly. 10(2005) nos.3/4
  11. Payne, N.; Thelwall, M.: Mathematical models for academic webs : linear relationship or non-linear power law? (2005) 0.00 
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    Theme
    Internet
  12. Thelwall, M.; Wilkinson, D.: Graph structure in three national academic Webs : power laws with anomalies (2003) 0.00 
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    Theme
    Internet
  13. Thelwall, M.; Wilkinson, D.: Finding similar academic Web sites with links, bibliometric couplings and colinks (2004) 0.00 
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    Internet
  14. Thelwall, M.: Text characteristics of English language university Web sites (2005) 0.00 
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    Abstract
    The nature of the contents of academic Web sites is of direct relevance to the new field of scientific Web intelligence, and for search engine and topic-specific crawler designers. We analyze word frequencies in national academic Webs using the Web sites of three Englishspeaking nations: Australia, New Zealand, and the United Kingdom. Strong regularities were found in page size and word frequency distributions, but with significant anomalies. At least 26% of pages contain no words. High frequency words include university names and acronyms, Internet terminology, and computing product names: not always words in common usage away from the Web. A minority of low frequency words are spelling mistakes, with other common types including nonwords, proper names, foreign language terms or computer science variable names. Based upon these findings, recommendations for data cleansing and filtering are made, particularly for clustering applications.
  15. Thelwall, M.: Interpreting social science link analysis research : a theoretical framework (2006) 0.00 
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    Theme
    Internet
  16. Thelwall, M.; Vann, K.; Fairclough, R.: Web issue analysis : an integrated water resource management case study (2006) 0.00 
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    Theme
    Internet
  17. Thelwall, M.; Prabowo, R.: Identifying and characterizing public science-related fears from RSS feeds (2007) 0.00 
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    Abstract
    A feature of modern democracies is public mistrust of scientists and the politicization of science policy, e.g., concerning stem cell research and genetically modified food. While the extent of this mistrust is debatable, its political influence is tangible. Hence, science policy researchers and science policy makers need early warning of issues that resonate with a wide public so that they can make timely and informed decisions. In this article, a semi-automatic method for identifying significant public science-related concerns from a corpus of Internet-based RSS (Really Simple Syndication) feeds is described and shown to be an improvement on a previous similar system because of the introduction of feedbased aggregation. In addition, both the RSS corpus and the concept of public science-related fears are deconstructed, revealing hidden complexity. This article also provides evidence that genetically modified organisms and stem cell research were the two major policyrelevant science concern issues, although mobile phone radiation and software security also generated significant interest.
  18. Angus, E.; Thelwall, M.; Stuart, D.: General patterns of tag usage among university groups in Flickr (2008) 0.00 
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    Internet
  19. Thelwall, M.: Homophily in MySpace (2009) 0.00 
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    Internet
  20. Thelwall, M.: Webometrics (2009) 0.00 
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    Theme
    Internet

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