OSoMe: the IUNI observatory on social media | Zendy

Clayton A. Davis | Zendy; Giovanni Luca Ciampaglia | Zendy; Luca Maria Aiello | Zendy; Keychul Chung | Zendy; Michael Conover | Zendy; Emilio Ferrara | Zendy; Alessandro Flammini | Zendy; Geoffrey Fox | Zendy; Xiaoming Gao | Zendy; Bruno Gonçalves | Zendy; Przemyslaw A. Grabowicz | Zendy; Kibeom Hong | Zendy; Pik-Mai Hui | Zendy; Scott McCaulay | Zendy; Karissa McKelvey | Zendy; Mark Meiss | Zendy; Snehal Patil | Zendy; Chathuri Peli Kankanamalage | Zendy; Valentin Pentchev | Zendy; Judy Qiu | Zendy; A. Ratkiewicz | Zendy; Alex Rudnick | Zendy; Benjamin Serrette | Zendy; Prashant Shiralkar | Zendy; Onur Varol | Zendy; Lilian Weng | Zendy; TakLon Wu | Zendy; Andrew Younge | Zendy; Filippo Menczer | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

OSoMe: the IUNI observatory on social media

Author(s) -

Clayton A. Davis,

Giovanni Luca Ciampaglia,

Luca Maria Aiello,

Keychul Chung,

Michael Conover,

Emilio Ferrara,

Alessandro Flammini,

Geoffrey Fox,

Xiaoming Gao,

Bruno Gonçalves,

Przemyslaw A. Grabowicz,

Kibeom Hong,

Pik-Mai Hui,

Scott McCaulay,

Karissa McKelvey,

Mark Meiss,

Snehal Patil,

Chathuri Peli Kankanamalage,

Valentin Pentchev,

Judy Qiu,

A. Ratkiewicz,

Alex Rudnick,

Benjamin Serrette,

Prashant Shiralkar,

Onur Varol,

Lilian Weng,

TakLon Wu,

Andrew Younge,

Filippo Menczer

Publication year - 2016

Publication title -

peerj computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.806

H-Index - 24

ISSN - 2376-5992

DOI - 10.7717/peerj-cs.87

Subject(s) - social media , data science , observatory , computer science , big data , world wide web , open source , social network (sociolinguistics) , social media analytics , software , data collection , analytics , citizen science , social network analysis , sociology , astronomy , data mining , social science , physics , programming language

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 designed to facilitate computational social science. The system leverages a historical, ongoing collection of over 70 billion public messages from Twitter. We illustrate a number of interactive open-source tools to retrieve, visualize, and analyze derived data from this collection. The Observatory, now available at osome.iuni.iu.edu, is the result of a large, six-year collaborative effort coordinated by the Indiana University Network Science Institute

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research