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...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2016-10-01
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| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-87.pdf |
| _version_ | 1819072882804785152 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Clayton A. Davis |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-21T17:44:47Z |
| format | Article |
| id | doaj.art-83786ca3295e4ac98893ddc06538a76b |
| institution | Directory Open Access Journal |
| issn | 2376-5992 |
| language | English |
| last_indexed | 2024-12-21T17:44:47Z |
| publishDate | 2016-10-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ Computer Science |
| spelling | doaj.art-83786ca3295e4ac98893ddc06538a76b2022-12-21T18:55:32ZengPeerJ Inc.PeerJ Computer Science2376-59922016-10-012e8710.7717/peerj-cs.87OSoMe: the IUNI observatory on social mediaClayton A. Davis0Giovanni Luca Ciampaglia1Luca Maria Aiello2Keychul Chung3Michael D. Conover4Emilio Ferrara5Alessandro Flammini6Geoffrey C. Fox7Xiaoming Gao8Bruno Gonçalves9Przemyslaw A. Grabowicz10Kibeom Hong11Pik-Mai Hui12Scott McCaulay13Karissa McKelvey14Mark R. Meiss15Snehal Patil16Chathuri Peli Kankanamalage17Valentin Pentchev18Judy Qiu19Jacob Ratkiewicz20Alex Rudnick21Benjamin Serrette22Prashant Shiralkar23Onur Varol24Lilian Weng25Tak-Lon Wu26Andrew J. Younge27Filippo Menczer28Center for Complex Networks and Systems Research, Indiana University, Bloomington, United StatesCenter for Complex Networks and Systems Research, Indiana University, Bloomington, United StatesBell Labs, London, United KingdomSchool of Informatics and Computing, Indiana University, Bloomington, United StatesLinkedIn Inc., Mountain View, CA, United StatesInformation Sciences Institute, University of Southern California, Marina Del Rey, CA, United StatesCenter for Complex Networks and Systems Research, Indiana University, Bloomington, United StatesSchool of Informatics and Computing, Indiana University, Bloomington, United StatesFacebook Inc., Boston, MA, United StatesCenter for Data Science, New York University, New York, NY, United StatesMax Planck Institute for Software Systems, Saarbrücken, GermanySchool of Informatics and Computing, Indiana University, Bloomington, United StatesCenter for Complex Networks and Systems Research, Indiana University, Bloomington, United StatesNetwork Science Institute, Indiana University, Bloomington, United StatesUS Open Data, Oakland, CA, United StatesGoogle Inc., Mountain View, CA, United StatesYahoo Inc., Sunnyvale, CA, United StatesNetwork Science Institute, Indiana University, Bloomington, United StatesNetwork Science Institute, Indiana University, Bloomington, United StatesSchool of Informatics and Computing, Indiana University, Bloomington, United StatesGoogle Inc., Mountain View, CA, United StatesGoogle Inc., Mountain View, CA, United StatesNetwork Science Institute, Indiana University, Bloomington, United StatesCenter for Complex Networks and Systems Research, Indiana University, Bloomington, United StatesCenter for Complex Networks and Systems Research, Indiana University, Bloomington, United StatesAffirm Inc., San Francisco, CA, United StatesAmazon Inc., Seattle, WA, United StatesSchool of Informatics and Computing, Indiana University, Bloomington, United StatesCenter for Complex Networks and Systems Research, Indiana University, Bloomington, United StatesThe 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.https://peerj.com/articles/cs-87.pdfSocial mediaObservatoryTwitterWeb scienceNetwork scienceMeme diffusion |
| spellingShingle | 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 OSoMe: the IUNI observatory on social media PeerJ Computer Science Social media Observatory Web science Network science Meme diffusion |
| title | OSoMe: the IUNI observatory on social media |
| title_full | OSoMe: the IUNI observatory on social media |
| title_fullStr | OSoMe: the IUNI observatory on social media |
| title_full_unstemmed | OSoMe: the IUNI observatory on social media |
| title_short | OSoMe: the IUNI observatory on social media |
| title_sort | osome the iuni observatory on social media |
| topic | Social media Observatory Web science Network science Meme diffusion |
| url | https://peerj.com/articles/cs-87.pdf |
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