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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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- Abstract
- Numerous studies have explored the possibility of uncovering information from web search queries but few have examined the factors that affect web query data sources. We conducted a study that investigated this issue by comparing Google Trends and Baidu Index. Data from these two services are based on queries entered by users into Google and Baidu, two of the largest search engines in the world. We first compared the features and functions of the two services based on documents and extensive testing. We then carried out an empirical study that collected query volume data from the two sources. We found that data from both sources could be used to predict the quality of Chinese universities and companies. Despite the differences between the two services in terms of technology, such as differing methods of language processing, the search volume data from the two were highly correlated and combining the two data sources did not improve the predictive power of the data. However, there was a major difference between the two in terms of data availability. Baidu Index was able to provide more search volume data than Google Trends did. Our analysis showed that the disadvantage of Google Trends in this regard was due to Google's smaller user base in China. The implication of this finding goes beyond China. Google's user bases in many countries are smaller than that in China, so the search volume data related to those countries could result in the same issue as that related to China.
- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.1, S.13-22
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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.; 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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- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.9, S.1178-1193
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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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- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.4, S.707-720
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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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Thelwall, M.; Vaughan, L.; Björneborn, L.: Webometrics (2004)
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- Source
- Annual review of information science and technology. 39(2005), S.81-138
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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
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Vaughan, L.: Uncovering information from social media hyperlinks (2016)
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- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.5, S.1105-1120
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Ninkov, A.; Vaughan, L.: ¬A webometric analysis of the online vaccination debate (2017)
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- Source
- Journal of the Association for Information Science and Technology. 68(2017) no.5, S.1285-1294
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Vaughan, L.; Ninkov, A.: ¬A new approach to web co-link analysis (2018)
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- Source
- Journal of the Association for Information Science and Technology. 69(2018) no.6, S.820-831
