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Measuring Labour Mobility and Migration Using Big Data

TLDR
Exploring the potential of social-media data for measuring EU Mobility Flows and Stocks of EU Movers, this article explored the potential for using social media data to measure EU mobility flows and stocks.
Abstract
Exploring the Potential of Social-Media Data for Measuring EU Mobility Flows and Stocks of EU Movers

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Behaviors and attitudes in response to the COVID-19 pandemic: Insights from a cross-national Facebook survey

TL;DR: Important differences by sex are estimated: women show a substantially higher perception of threat along with a lower level of confidence in the health system, which is paralleled by sex-specific behaviors, with women more likely to adopt a wide range of preventive behaviors.
Proceedings ArticleDOI

The big data analysis

TL;DR: This article tells about the Big Data files, their features, and the readers will know about methods and programms, helping to deal with Big Data.
Journal ArticleDOI

Addressing Public Health Emergencies via Facebook Surveys: Advantages, Challenges, and Practical Considerations.

TL;DR: The experiences with using targeted Facebook advertising campaigns to address difficulties in conducting surveys of the general population in relation to the COVID-19 pandemic are discussed.
Posted Content

Addressing Public Health Emergencies via Facebook Surveys: Advantages, Challenges, and Practical Considerations

TL;DR: In this paper, the authors discuss their experiences with using targeted Facebook advertising campaigns to address the difficulties in relation to the COVID-19 pandemic and discuss potential sources of bias and how they can be addressed.
Book ChapterDOI

Indian Diaspora in Central Europe

TL;DR: In this article, the authors analyse the origins and growth of Indian communities in Central Europe and provide a detailed overview of the key features of the Indian diaspora in each of the V4 countries.
References
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Journal ArticleDOI

Business intelligence and analytics: from big data to big impact

TL;DR: This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifies the evolution, applications, and emerging research areas of BI&A, and introduces and characterized the six articles that comprise this special issue in terms of the proposed BI &A research framework.

JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling

TL;DR: JAGS is a program for Bayesian Graphical modelling which aims for compatibility with Classic BUGS and could eventually be developed as an R package.
Journal ArticleDOI

A universal model for mobility and migration patterns

TL;DR: A stochastic process capturing local mobility decisions that helps to derive commuting and mobility fluxes that require as input only information on the population distribution is introduced, significantly improving the predictive accuracy of most of the phenomena affected by mobility and transport processes.
Proceedings Article

Understanding the Demographics of Twitter Users

TL;DR: This paper develops techniques that allow it to compare the Twitter population to the U.S. population along three axes (geography, gender, and race/ethnicity), and finds that theTwitter population is a highly non-uniform sample of the population.
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