Naslov
Social Data Analytics: Representativeness of Social Datasets and Examples from the Political Domain

Autori
Bagić Babac, Marina ; Štriga, Darko ; Podobnik, Vedran

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, prošireni sažetak, znanstveni

Izvornik
Proceedings of the 2nd International Workshop on Data Science (IWDS 2017) / Lončarić, Sven - Zagreb : Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2017, 1-2

Skup
2nd International Workshop on Data Science (IWDS 2017)

Mjesto i datum
Zagreb, Hrvatska, 30.11.2017

Vrsta sudjelovanja
Poster

Vrsta recenzije
Domaća recenzija

Ključne riječi
Social Media ; Social Networks ; Analytics ; Politics

Sažetak
Online social networks (OSN) are among few technologies which have had the most significant impact on society, governments and businesses during the last decade. As a result, in 2017 Facebook has 2 billion monthly active users (what accounts for around half of worldwide Internet users), followed by WhatsApp, YouTube and Facebook Messenger who have more than a billion users. All these OSN users continuously produce huge amounts of social data through their various activities such as posting content or interacting with other users. Researchers, business practitioners and governments can use social data for new scientific findings, advancing businesses or improving quality of life. Therefore, in the next three paragraphs, we will present three research questions from the domain of social data analytics.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Politologija, Informacijske i komunikacijske znanosti

POVEZANOST RADA