2012 IEEE International Conference on Industrial Engineering and Engineering Management 2012
DOI: 10.1109/ieem.2012.6837914
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Temporal network analysis of emerging technologies: Topic transition in World Wide Web (WWW) conferences

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Cited by 3 publications
(3 citation statements)
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“…By combining textual and network analyses, [Joeng and Kim 2010] extracted significant topics from textual data, such as descriptions in calls for papers and session titles in scholarly events. [Arino et al 2012] focused on conference session titles and found that those titles offer a unique and distinct set of meta-knowledge, where session titles may serve as a superior concept for covering a certain range of papers. Taken together, these studies highlight the unique information available from scientific meetings, which can be a valuable alternative to traditional bibliometric analyses using journal articles.…”
Section: Analysis Of Scientific Meetingsmentioning
confidence: 99%
See 1 more Smart Citation
“…By combining textual and network analyses, [Joeng and Kim 2010] extracted significant topics from textual data, such as descriptions in calls for papers and session titles in scholarly events. [Arino et al 2012] focused on conference session titles and found that those titles offer a unique and distinct set of meta-knowledge, where session titles may serve as a superior concept for covering a certain range of papers. Taken together, these studies highlight the unique information available from scientific meetings, which can be a valuable alternative to traditional bibliometric analyses using journal articles.…”
Section: Analysis Of Scientific Meetingsmentioning
confidence: 99%
“…In addition to providing prompt publication as proceedings papers, conferences themselves are considered significant sources of scientific endeavors. [Arino et al 2012] proposed a text mining techniques-based network analysis for conference sessions and demonstrated the latest of research development in World Wide Web-based technologies. They argued that conference session titles offer a unique and distinct meta-knowledge reflecting future perspectives within scholarly communities.…”
Section: Introductionmentioning
confidence: 99%
“…Text-mining has also been paid attention as new foresight tools 6), 7) . Some qualitative transformation in chronological changes in science and technology trends could be revealed with original data sets and contrivance of text-mining 8) . Here, we may show the usability of text-mining in a trial of finding chronological changes in experts' consciousness.…”
Section: Introductionmentioning
confidence: 99%