"Big Data" : big gaps of knowledge in the field of internet science

391 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Industrial Internet: A Survey on the Enabling Technologies, Applications, and Challenges (2017, methodology): “Big data usually includes data sets with sizes beyond the ability of commonly used software tools to capture, curate, manage, and process within a tolerable elapsed time [74]–[76].”
Modelling quality dynamics, business value and firm performance in a big data analytics environment (2017, methodology): “Big data usually include data-sets with sizes beyond the ability of commonly used software tools to capture, curate, manage and process data within a tolerable elapsed time (Snijders et al. 2012).”
Big Data Analytics on the Characteristic Equilibrium of Collective Opinions in Social Networks (2014, background): “Big data is one of the fundamental phenomena of the information era of human societies [Jacobs, 2009; Snijders et al., 2012; Wang, 2014a; Wang & Wiebe, 2014].”
Does ‘bigger’ mean ‘better’? Pitfalls and shortcuts associated with big data for social research (2015, methodology): “18 As some scholars have pointed out, it is considered desirable because of its own properties (Snijders et al. 2012). The hidden pitfall is to assume that it is representative of online interaction and, therefore, to consider it as the best way to infer offline processes. In analysing this effect T”