The four dimensions of social network analysis: An overview of research methods, applications, and software tools

Camacho, David; Panizo-LLedot, Ańgel; Bello-Orgaz, Gema; González-Pardo, Antonio; Wang, Zhaoxia

doi:10.1016/j.inffus.2020.05.009

Cited by 191 publications

(122 citation statements)

References 218 publications

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“…The majority of topics are related to 5G radiation and tower effects and conspiracy theories against China and Huawei. Our study satisfies the evaluation metrics proposed by Camache et al's four dimensions of social network analysis [42]. The evaluation metrics are -(a)Pattern and knowledge discovery: our study identifies the themes and topics from the tweet corpus; (b)Scalability: the presented approaches can work on larger datasets and potentially allow application of deep learning based techniques; (c)Information fusion and integration: text data from different social media platforms can be included for further analysis and is our potential future work; (d)Visualization: the LDAvis approach and the other data visualizations presented in our study provides an insightful representation of the themes and topics of the tweet data.…”

Section: Discussion -Limitation Of Studysupporting

confidence: 70%

Unlink the Link Between COVID-19 and 5G Networks: An NLP and SNA Based Approach

Bahja

Safdar

2020

IEEE Access

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Social media facilitates rapid dissemination of information for both factual and fictional information. The spread of non-scientific information through social media platforms such as Twitter has potential to cause damaging consequences. Situations such as the COVID-19 pandemic provides a favourable environment for misinformation to thrive. The upcoming 5G technology is one of the recent victims of misinformation and fake news and has been plagued with misinformation about the effects of its radiation. During the COVID-19 pandemic, conspiracy theories linking the cause of the pandemic to 5G technology have resonated with a section of people leading to outcomes such as destructive attacks on 5G towers. The analysis of the social network data can help to understand the nature of the information being spread and identify the commonly occurring themes in the information. The natural language processing (NLP) and the statistical analysis of the social network data can empower policymakers to understand the misinformation being spread and develop targeted strategies to counter the misinformation. In this paper, NLP based analysis of tweets linking COVID-19 to 5G is presented. NLP models including Latent Dirichlet allocation (LDA), sentiment analysis (SA) and social network analysis (SNA) were applied for the analysis of the tweets and identification of topics. An understanding of the topic frequencies, the inter-relationships between topics and geographical occurrence of the tweets allows identifying agencies and patterns in the spread of misinformation and equips policymakers with knowledge to devise counter-strategies.

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Section: Discussion -Limitation Of Studysupporting

confidence: 70%

Unlink the Link Between COVID-19 and 5G Networks: An NLP and SNA Based Approach

Bahja

Safdar

2020

IEEE Access

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“…Density is defined between 0 and 1, where 0 is a totally disconnected graph and 1 is a totally connected graph. 43,44…”

Section: Methodsmentioning

confidence: 99%

“…Density is defined between 0 and 1, where 0 is a totally disconnected graph and 1 is a totally connected graph. 43,44 The graph shows the high degree of interconnectedness between the participants in the study. This shows that the participants began to select one another, which indicates that the sampling method used would no longer allow many more entrepreneurs to be included in the sample.…”

Section: Methodsmentioning

confidence: 99%

Facing post COVID-19 era, what is really important for Ecuadorian SMEs?

García-Vidal

Guzmán-Vilar

Sánchez-Rodríguez

et al. 2020

International Journal of Engineering Business Management

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Small and medium-sized enterprises (SMEs) have to face the time post COVID-19. The pandemic impacted the SMEs with great force worsening the well-known situation of lack of resources and its tendency to disappear in the very early years of existence. This systemic crisis jeopardizes SMEs in many ways and it is necessary to find ways to emerge and survive from this crisis. This manuscript conducts a literature study on more than 100 manuscripts that present recommendations from McKinsey & Company for SMEs to face post-pandemic time. Through the application of the entropy-weight coefficient method this paper finds priorities from Ecuadorian SMEs out of essential elements proposed at the literature review, to introducing at the managing process to face post COVID-19 era.

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“…This is the purpose of another article. However, we want to illustrate some powerful techniques that can be applied to this collection of references (for instance, social network analysis) while remaining at a very high level [ 12 ].…”

Section: Resultsmentioning

confidence: 99%

Global Research on Coronaviruses: An R Package

Warin¹

2020

J Med Internet Res

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Background In these trying times, we developed an R package about bibliographic references on coronaviruses. Working with reproducible research principles based on open science, disseminating scientific information, providing easy access to scientific production on this particular issue, and offering a rapid integration in researchers’ workflows may help save time in this race against the virus, notably in terms of public health. Objective The goal is to simplify the workflow of interested researchers, with multidisciplinary research in mind. With more than 60,500 medical bibliographic references at the time of publication, this package is among the largest about coronaviruses. Methods This package could be of interest to epidemiologists, researchers in scientometrics, biostatisticians, as well as data scientists broadly defined. This package collects references from PubMed and organizes the data in a data frame. We then built functions to sort through this collection of references. Researchers can also integrate the data into their pipeline and implement them in R within their code libraries. Results We provide a short use case in this paper based on a bibliometric analysis of the references made available by this package. Classification techniques can also be used to go through the large volume of references and allow researchers to save time on this part of their research. Network analysis can be used to filter the data set. Text mining techniques can also help researchers calculate similarity indices and help them focus on the parts of the literature that are relevant for their research. Conclusions This package aims at accelerating research on coronaviruses. Epidemiologists can integrate this package into their workflow. It is also possible to add a machine learning layer on top of this package to model the latest advances in research about coronaviruses, as we update this package daily. It is also the only one of this size, to the best of our knowledge, to be built in the R language.

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The four dimensions of social network analysis: An overview of research methods, applications, and software tools

Cited by 191 publications

References 218 publications

Unlink the Link Between COVID-19 and 5G Networks: An NLP and SNA Based Approach

Unlink the Link Between COVID-19 and 5G Networks: An NLP and SNA Based Approach

Facing post COVID-19 era, what is really important for Ecuadorian SMEs?

Global Research on Coronaviruses: An R Package

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