The Impact of Sampling on Big Data Analysis of Social Media: A Case Study on Flu and Ebola

Author(s):  
Kuai Xu ◽  
Feng Wang ◽  
Xiaohua Jia ◽  
Haiyan Wang
2021 ◽  
Vol 10 (3) ◽  
pp. 84
Author(s):  
Ainara Larrondo Ureta ◽  
Julen Orbegozo Terradillos ◽  
Jordi Morales i Gras

The feminist movement is experiencing the rise of a new generation characterized by specific phenomena linked to technological progress, such as hashtivism, i.e., mobilization through social media. With the aim of contributing to extending our knowledge of the implications of Twitter for this as well as other social movements, this article examined eight of the most common Spanish- and English-language hashtags used to commemorate the 25 November 2018 event, the International Day for the Elimination of Violence against Women. Employing big data analysis to study social and communications phenomena, the results offer a picture of contemporary feminism through the kind of international digital dialogue or conversation that it creates, as well as questioning Twitter’s validity in terms of cohesion when it comes to uniting forces in relation to one of the movement’s most urgent struggles: eliminating violence against women in all its forms.


Web Services ◽  
2019 ◽  
pp. 1301-1329
Author(s):  
Suren Behari ◽  
Aileen Cater-Steel ◽  
Jeffrey Soar

The chapter discusses how Financial Services organizations can take advantage of Big Data analysis for disruptive innovation through examination of a case study in the financial services industry. Popular tools for Big Data Analysis are discussed and the challenges of big data are explored as well as how these challenges can be met. The work of Hayes-Roth in Valued Information at the Right Time (VIRT) and how it applies to the case study is examined. Boyd's model of Observe, Orient, Decide, and Act (OODA) is explained in relation to disruptive innovation in financial services. Future trends in big data analysis in the financial services domain are explored.


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