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Ten years of research change using Google Trends: From the perspective of big data utilizations and applications
ده سال از تغییرات تحقیق با استفاده از Google Trends: از دیدگاه استفاده از داده های بزرگ و برنامه های کاربردی-2018 This study seeks to analyze the trends in research studies in the past decade which have utilized Google Trends, a
new source of big data, to examine how the scope of research has expanded. Our purpose is to conduct a
comprehensive and objective research into how the public use of Big Data from web searches has affected
research, and furthermore, to discuss the implications of Google Trends in terms of Big Data utilization and
application. To this end, we conducted a network analysis on 657 research papers that used Google Trends. We
also identified the important nodes of the networks and reviewed the research directions of representative
papers. The study reveals that Google Trends is used to analyze various variables in a wide range of areas,
including IT, communications, medicine, health, business and economics. In addition, this study shows that
research using Google Trends has increased dramatically in the last decade, and in the process, the focus of
research has shifted to forecasting changes, whereas in the past the focus had been on merely describing and
diagnosing research trends, such as surveillance and monitoring. This study also demonstrates that in recent
years, there has been an expansion in analysis in linkage with other social Big Data sources, as researchers
attempt to overcome the limitations of using only search information. Our study will provide various insights for
researchers who utilize Google Trends as well as researchers who rely on various other sources of Big Data in
their efforts to compare research trends and identify new areas for research.
Keyword: Google Trends ، Big data utilization ، Big data application ، Networks analysis ، Author keyword ، Science Journal Classification ، Clustering |
مقاله انگلیسی |
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Mining web-based data to assess public response to environmental events
داده کاوی مبتنی بر وب برای ارزیابی پاسخ های عمومی به حوادث زیست محیطی-2015 We explore how the analysis of web-based data, such as Twitter and Google Trends, can be used to assess the social relevance of an environmental accident. The concept and methods are applied in the shutdown of drinking water supply at the city of Toledo, Ohio, USA. Toledo's notice, which persisted from August 1 to 4, 2014, is a high-profile event that directly influenced approximately half a million people and received wide recognition. The notice was given when excessive levels of microcystin, a byproduct of cyanobacteria blooms, were discovered at the drinking water treatment plant on Lake Erie. Twitter mining results illustrated an instant response to the Toledo incident, the associated collective knowledge, and public perception. The results from Google Trends, on the other hand, revealed how the Toledo event raised public attention on the associated environmental issue, harmful algal blooms, in a long-term context. Thus, when jointly applied, Twitter and Google Trend analysis results offer complementary perspectives. Web content aggregated through mining approaches provides a social standpoint, such as public perception and interest, and offers context for establishing and evaluating environmental man- agement policies.© 2014 Elsevier Ltd. All rights reserved.
Keywords: Twitter | Google trends | Social media | Web search trends | Data mining | Algal blooms | Public perception and interest |
مقاله انگلیسی |