Please use this identifier to cite or link to this item: https://rfos.fon.bg.ac.rs/handle/123456789/2629
Title: Big Data Analysis in Social Media
Authors: Ljubenović, Jelena
Pantelić, Ognjen 
Pajić Simović, Ana
Keywords: big data;big data analysis;social media;social media data;social media data infrastructure
Issue Date: 2018
Publisher: University of Belgrade – Faculty of Organizational Sciences
Abstract: The Internet community has changed a lot in the past few years. Social media has changed the
way of communication and connected millions of people. With the increase of information that is being
generated in these communication channels, there is a new problem: storing all the data. Relational
databases are no longer most suitable storage for social media data. Two technical entities have come
together. First is big data for massive amounts of data. Second, there’s advanced analytics, which is a
collection of different tool types for getting meaningful information from the data. Together they make big
data analytics, a new practice in BI today.
This paper presents big data, social media, and social media data infrastructure. It also shows tools for
analyzing big data. The contribution of this paper is to provide an overview of tools and techniques for
analyzing social media data either for research or business purposes
URI: https://rfos.fon.bg.ac.rs/handle/123456789/2629
ISBN: 978-86-7680-361-3
Appears in Collections:Radovi istraživača / Researchers’ publications

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