Google Trends for Data Mining. Study of Czech Towns

Horák, Jiří; Ivan, Igor; Kukuliaă, Pavel; Inspektor, Tomáš; Deveăka, Branislav; Návratová, Markéta

doi:10.1007/978-3-642-40495-5_11

Cited by 2 publications

(1 citation statement)

References 8 publications

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“…During the outbreak of COVID-19 and similar viruses in the past, Google Trends attracted a significant amount of attention from researchers across different disciplines, such as Big Data [33,34], Data Mining [35,36], Healthcare [37,38], Epidemiology [39,40], Information Retrieval [41,42], and Data Analysis [43,44], as Google Trends helps to mine, analyze, and obtain real-time insights related to web behavior, and the features of Google Trends surpass traditional surveys [45]. However, none of the prior works in this field have focused on mining and analyzing web behavior data from Google Trends related to Disease X.…”

Section: Introductionmentioning

confidence: 99%

A Large-Scale Dataset of Search Interests Related to Disease X Originating from Different Geographic Regions

Thakur,

Cui,

Patel

et al. 2023

Data

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The World Health Organization (WHO) added Disease X to their shortlist of blueprint priority diseases to represent a hypothetical, unknown pathogen that could cause a future epidemic. During different virus outbreaks of the past, such as COVID-19, Influenza, Lyme Disease, and Zika virus, researchers from various disciplines utilized Google Trends to mine multimodal components of web behavior to study, investigate, and analyze the global awareness, preparedness, and response associated with these respective virus outbreaks. As the world prepares for Disease X, a dataset on web behavior related to Disease X would be crucial to contribute towards the timely advancement of research in this field. Furthermore, none of the prior works in this field have focused on the development of a dataset to compile relevant web behavior data, which would help to prepare for Disease X. To address these research challenges, this work presents a dataset of web behavior related to Disease X, which emerged from different geographic regions of the world, between February 2018 and August 2023. Specifically, this dataset presents the search interests related to Disease X from 94 geographic regions. These regions were chosen for data mining as these regions recorded significant search interests related to Disease X during this timeframe. The dataset was developed by collecting data using Google Trends. The relevant search interests for all these regions for each month in this time range are available in this dataset. This paper also discusses the compliance of this dataset with the FAIR principles of scientific data management. Finally, an analysis of this dataset is presented to uphold the applicability, relevance, and usefulness of this dataset for the investigation of different research questions in the interrelated fields of Big Data, Data Mining, Healthcare, Epidemiology, and Data Analysis with a specific focus on Disease X.

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Section: Introductionmentioning

confidence: 99%

A Large-Scale Dataset of Search Interests Related to Disease X Originating from Different Geographic Regions

Thakur,

Cui,

Patel

et al. 2023

Data

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Google Trends: Estudo De Caso Em Um Marketplace De Natal/Rn

De Vilhena,

Da Silva,

Medeiros

2023

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O presente trabalho teve como objetivo analisar de que forma a ferramenta Google Trends (GT) contribui com a estratégia de vendas da empresa Alecrim na Web no varejo digital. A pesquisa caracterizou-se como um estudo de caso, utilizando a técnica de entrevista como instrumento para coleta de dados. Nos resultados foi descrito o processo de utilização do GT na Alecrim na Web, além da análise estratégica da aplicação da ferramenta com a apresentação dos direcionamentos que o GT proporciona na elaboração de estratégias de Marketing digital da empresa a partir de exemplos. Foram apontadas sugestões de melhorias no uso do GT por parte da empresa, apresentando, com base na literatura da área. Conclui-se então, que, apesar de ser uma ferramenta muito simples, o GT consegue ser útil em muitas ações de uma empresa, desde uma simples publicação nas redes sociais ao uso em análises estatísticas mais rebuscadas, sendo que na Alecrim na Web especificamente, a ferramenta contribui principalmente para o maior alcance dos anúncios nas redes sociais e no ranqueamento das páginas do site nos meios de buscas.

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Google Trends for Data Mining. Study of Czech Towns

Cited by 2 publications

References 8 publications

A Large-Scale Dataset of Search Interests Related to Disease X Originating from Different Geographic Regions

A Large-Scale Dataset of Search Interests Related to Disease X Originating from Different Geographic Regions

Google Trends: Estudo De Caso Em Um Marketplace De Natal/Rn

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