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Vaughan, L.; Hahn, T.B.: Profile, needs, and expectations of information professionals : what we learned from the 2003 ASIST membership survey (2005)
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- Abstract
- A survey of American Society for Information Science and Technology (ASIST) members was administered via the Web in May 2003. The survey gathered demographic data about members and their preferences and expectations in regard to conferences and other ASIST products and services. With about a 32% return rate, findings were compared with an earlier survey conducted in 1979, which provides a glimpse of how the Society has changed and what needs to be done to ensure a healthy future development. The gender split has remained the same but members are about 5 years older an average than they were in 1979. A significant shift has occurred in members' institutional affiliations, from the largest group being in the industrial sector to the largest group being in educational institutions. Members an average reported slightly higher incomes (after adjusting for inflation) in 2003 than in 1979. Since 1979, a larger percentage of members have earned a doctoral degree. The most common field of study is library and information science. About half of the respondents reported that ASIST is their primary professional society. Their primary reason for maintaining ASIST membership is "learning about new developments/issues in the field." The most common responses to the question about what factors would make ASIST conferences more appealing related to lowering costs. Other responses related to attitudes about the ASIST Bulletin and the value of other proposed products and services are summarized and reported. Detailed analyses of relationships among different variables made possible a deeper understanding of members' needs and expectations, which provides directions for design of programs and services.
- Source
- Journal of the American Society for Information Science and Technology. 56(2005) no.1, S.95-105
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Vaughan, L.: Visualizing linguistic and cultural differences using Web co-link data (2006)
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- Abstract
- The study examined Web co-links to Canadian university Web sites. Multidimensional scaling (MDS) was used to analyze and visualize co-link data as was done in co-citation analysis. Co-link data were collected in ways that would reflect three different views, the global view, the French Canada view, and the English Canada view. Mapping results of the three data sets accurately reflected the ways Canadians see the universities and clearly showed the linguistic and cultural differences within Canadian society. This shows that Web co-linking is not a random phenomenon and that co-link data contain useful information for Web data mining. It is proposed that the method developed in the study can be applied to other contexts such as analyzing relationships of different organizations or countries. This kind of research is promising because of the dynamics and the diversity of the Web.
- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.9, S.1178-1193
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Thelwall, M.; Vaughan, L.: Webometrics : an introduction to the special issue (2004)
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- Source
- Journal of the American Society for Information Science and Technology. 55(2004) no.14, S.1213-1215
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Vaughan, L.; Thelwall, M.: ¬A modelling approach to uncover hyperlink patterns : the case of Canadian universities (2005)
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- Abstract
- Hyperlink patterns between Canadian university Web sites were analyzed by a mathematical modeling approach. A multiple regression model was developed which shows that faculty quality and the language of the university are important predictors for links to a university Web site. Higher faculty quality means more links. French universities received lower numbers of links to their Web sites than comparable English universities. Analysis of interlinking between pairs of universities also showed that English universities are advantaged. Universities are more likely to link to each other when the geographical distance between them is less than 3000 km, possibly reflecting the east vs. west divide that exists in Canadian society.
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Romero-Frías, E.; Vaughan, L.: Exploring the relationships between media and political parties through web hyperlink analysis : the case of Spain (2012)
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- Source
- Journal of the American Society for Information Science and Technology. 63(2012) no.5, S.967-976
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Vaughan, L.; Romero-Frías, E.: Web search volume as a predictor of academic fame : an exploration of Google trends (2014)
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- Abstract
- Searches conducted on web search engines reflect the interests of users and society. Google Trends, which provides information about the queries searched by users of the Google web search engine, is a rich data source from which a wealth of information can be mined. We investigated the possibility of using web search volume data from Google Trends to predict academic fame. As queries are language-dependent, we studied universities from two countries with different languages, the United States and Spain. We found a significant correlation between the search volume of a university name and the university's academic reputation or fame. We also examined the effect of some Google Trends features, namely, limiting the search to a specific country or topic category on the search volume data. Finally, we examined the effect of university sizes on the correlations found to gain a deeper understanding of the nature of the relationships.
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Vaughan, L.; Chen, Y.: Data mining from web search queries : a comparison of Google trends and Baidu index (2015)
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- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.1, S.13-22
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Vaughan, L.; Thelwall, M.: Scholarly use of the Web : what are the key inducers of links to journal Web sites? (2003)
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- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.1, S.29-38
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Vaughan, L.; Shaw, D.: Web citation data for impact assessment : a comparison of four science disciplines (2005)
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- Source
- Journal of the American Society for Information Science and Technology. 56(2005) no.10, S.1075-1087
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Vaughan, L.; Shaw , D.: Bibliographic and Web citations : what Is the difference? (2003)
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- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.14, S.1313-1324
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Leydesdorff, L.; Vaughan, L.: Co-occurrence matrices and their applications in information science : extending ACA to the Web environment (2006)
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- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.12, S.1616-1628
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Romero-Frías, E.; Vaughan, L.: European political trends viewed through patterns of Web linking (2010)
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- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.10, S.2109-2121
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Vaughan, L.; Yang, R.: Web data as academic and business quality estimates : a comparison of three data sources (2012)
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- Source
- Journal of the American Society for Information Science and Technology. 63(2012) no.10, S.1960-1972
