Managing and Visualizing Unstructured Big Data

2019 ◽  
pp. 81-93
Author(s):  
Ananda Mitra
Keyword(s):  
Big Data ◽  
Variety Of Groups ◽  
Scholarly Discussion

One of the most common terms that is used in a significant amount of popular and scholarly discussion is big data. As pointed out earlier, the term has a dubious history and different people claim ownership. What remains true of the notion of big data is that it exists. With the increasing rate at which institutions and individuals are digitizing many different kinds of information the amount of data can only go up in volume. Therefore, big data has become an object of analysis for a variety of groups, from academics to marketers, all of whom are interested in understanding how big data could provide highly granular information about people.

Managing and Visualizing Unstructured Big Data

2018 ◽  
pp. 394-405
Author(s):  
Ananda Mitra
Keyword(s):  
Big Data ◽  
Variety Of Groups ◽  
Scholarly Discussion

One of the most common terms that is used in a significant amount of popular and scholarly discussion is “Big Data.” As pointed out earlier, the term has a dubious history and different people claim ownership (see, e.g., Mitra, 2014). What remains true of the notion of Big Data is that it exists. With the increasing rate at which institutions and individuals are digitizing many different kind of information the amount of data can only go up in volume. Therefore, Big Data has become an object of analysis for a variety of groups, from academics to marketers, all of whom are interested in understanding how Big Data could provide highly granular information about people.

Find Out About 'Big Data' to Track Outcomes

ASHA Leader ◽  
2013 ◽  
Vol 18 (2) ◽  
pp. 59-59
Keyword(s):  
Big Data

Find Out About 'Big Data' to Track Outcomes

Correlating Personality and Actual Phone Usage

2014 ◽  
Vol 35 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Christian Montag ◽  
Konrad Błaszkiewicz ◽  
Bernd Lachmann ◽  
Ionut Andone ◽  
Rayna Sariyska ◽  
...  
Keyword(s):  
Big Data ◽  
Social Network ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Self Report ◽  
Psychological Variables ◽  
New Approach ◽  
Report Data ◽  
Self Report Data ◽  
Voice Calls

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.

“Big Data in Psychology: Methods and Applications”

2017 ◽  
Vol 225 (3) ◽  
pp. 287-288
Keyword(s):  
Big Data

An associated conference will take place at ZPID – Leibniz Institute for Psychology Information in Trier, Germany, on June 7–9, 2018. For further details, see: http://bigdata2018.leibniz-psychology.org

When the Sample Is the Population: Big Data

PsycCRITIQUES ◽  
2014 ◽  
Vol 59 (2) ◽  
Author(s):  
David J. Pittenger
Keyword(s):  
Big Data

Little sensors, big data

2015 ◽  
Author(s):  
Kirsten Weir
Keyword(s):  
Big Data
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