Big data research guided by sociological theory: a triadic dialogue among big data analysis, theory, and predictive models

Abstract

Computational social science has integrated social science theories and methodology with big data analysis. It has opened a number of new topics for big data analysis and enabled qualitative and quantitative sociological research to provide the ground truth for testing the results of data mining. At the same time, threads of evidence obtained by data mining can inform the development of theory and thereby guide the construction of predictive models to infer and explain more phenomena. Using the example of the Internet data of China's venture capital industry, this paper shows the triadic dialogue among data mining, sociological theory, and predictive models and forms a methodology of big data analysis guided by sociological theories.

La utilidad del Big Data en las estadísticas públicas y empresas privadas

“…Un gran número de investigaciones remarcan que las fuentes de información de una estructura Big Data, contienen diversas dificultades, muchas de ellas vinculadas entre sí, como la falta de evidencia del fenómeno relevado (Luo et al, 2019), la baja calidad de las fuentes de información, 29 poseen una elevada proporción de datos no estructurados y erróneos 30 (Paliotta, 2018), que se expresa en la poca usabilidad de las mismas (Pérez--Rave et al, 2019), la metodología estadística para realizar inferencias respecto de las poblaciones de interés (Salgado, 2017), la preeminencia del volumen de información por sobre la precisión analítica (Del-Fresno--García, 2014), las restricciones en el acceso institucional a los datos, cambios legales en los países. Además de los problemas de duplicación, errores tipográficos, información falsa o basada en percepciones subjetivas de una arquitectura de Big Data (Monleon-Getino, 2015;Rodríguez et al, 2017).…”

The Potential of Big Data Research in HealthCare for Medical Doctors’ Learning

“…That exponential growth of data will allow MDs to improve diagnoses, prognoses, and therapy through a better understanding of their patients' condition [11]. The impressive signs of progress of Big Data in the medical field [21] will lead to a reassessing of the worldwide view of healthcare systems and organisations [22]. Although there is still an open debate on the cost of health, it seems that only human intelligence can understand today's dispersal of data.…”

“…Healthcare professionals at every stage of their career must continue to learn about advances in research, treatments, knowledge, and skills required to provide safe and effective patient care [33]. It is the responsibility of the professional to keep abreast of technological changes and relevant medical knowledge [16,22]. In this perspective, more and more elearning options are available, with an increasing number of attendees, especially during the COVID pandemic crisis [14,34].…”

Big Data and the Revolution of Political Campaign in Indonesia

“…We are now in the time when the Internet is no longer merely a means to conduct communication, and able to mobilize many people [6]. In the Informibig Data technology industry is an issue that is always talked about [7], but now Big Data has also been a study of the scholars in the field of social sciences, because its emergence has an effect on human thinking and affects a social activity [8]. Big Data has become the reference of many people for various purposes, ranging from business, research, to political interests [9].…”