OSoMe: the IUNI observatory on social media

OSoMe: the IUNI observatory on social media

The study of social phenomena is becoming increasingly reliant on big data from online social networks. Broad access to social media data, however, requires software development skills that not all researchers possess. Here we present the IUNI Observatory on Social Media, an open analytics platform...

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Bibliographic Details
Main Authors: Clayton A. Davis, Giovanni Luca Ciampaglia, Luca Maria Aiello, Keychul Chung, Michael D. Conover, Emilio Ferrara, Alessandro Flammini, Geoffrey C. Fox, Xiaoming Gao, Bruno Gonçalves, Przemyslaw A. Grabowicz, Kibeom Hong, Pik-Mai Hui, Scott McCaulay, Karissa McKelvey, Mark R. Meiss, Snehal Patil, Chathuri Peli Kankanamalage, Valentin Pentchev, Judy Qiu, Jacob Ratkiewicz, Alex Rudnick, Benjamin Serrette, Prashant Shiralkar, Onur Varol, Lilian Weng, Tak-Lon Wu, Andrew J. Younge, Filippo Menczer
Format: Article
Language:English
Published: PeerJ Inc. 2016-10-01
Series:PeerJ Computer Science
Subjects:
Social media
Observatory
Twitter
Web science
Network science
Meme diffusion
Online Access:https://peerj.com/articles/cs-87.pdf

Internet

https://peerj.com/articles/cs-87.pdf

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