Abstract
Since its birth in 2006, Twitter has evolved to a multi- purpose social media that attracts hundreds of millions of users to share their activities and ideas on a daily basis. The potential of capturing fine-grained activity log of users, combined with ever increasing geographical information derived from GPS-enabled devices, has made Twitter data a valuable source for spatiotemporal analysis of human activities. One of the early innovations of Twitter is the use of hash- Tag as a unique tagging mechanism to provide additional information about a user post. From its emergence in late 2007, hashtags have been used extensively to express ideas, group tweets and report events among Twitter users. The increasing popularity of hashtags, in addition to their simple and concise structure, has inspired multiple recent studies to propose hashtag as a medium to assess diffusion of ideas in a virtual world. Studying collective eFFort of users in making a hashtag go viral can shed light on the complex process of idea diffusion that involves psychological, sociological and geographical elements.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of the XSEDE 2015 Conference |
| Subtitle of host publication | Scientific Advancements Enabled by Enhanced Cyberinfrastructure |
| Publisher | Association for Computing Machinery |
| ISBN (Electronic) | 9781450337205 |
| DOIs | |
| State | Published - Jul 26 2015 |
| Event | 4th Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2015 - St. Louis, United States Duration: Jul 26 2015 → Jul 30 2015 |
Publication series
| Name | ACM International Conference Proceeding Series |
|---|---|
| Volume | 2015-July |
Other
| Other | 4th Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2015 |
|---|---|
| Country | United States |
| City | St. Louis |
| Period | 7/26/15 → 7/30/15 |
Fingerprint
Keywords
- Cybergis
- Geohashviz
- Hadoop
- Interactive visualization
- Social media
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
Cite this
GeoHashViz : Interactive analytics for mapping spatiotemporal diffusion of twitter hashtags. / Soltani, Kiumars; Parameswaran, Aditya; Wang, Shaowen.
Proceedings of the XSEDE 2015 Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure. Association for Computing Machinery, 2015. a37 (ACM International Conference Proceeding Series; Vol. 2015-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - GeoHashViz
T2 - Interactive analytics for mapping spatiotemporal diffusion of twitter hashtags
AU - Soltani, Kiumars
AU - Parameswaran, Aditya
AU - Wang, Shaowen
PY - 2015/7/26
Y1 - 2015/7/26
N2 - Since its birth in 2006, Twitter has evolved to a multi- purpose social media that attracts hundreds of millions of users to share their activities and ideas on a daily basis. The potential of capturing fine-grained activity log of users, combined with ever increasing geographical information derived from GPS-enabled devices, has made Twitter data a valuable source for spatiotemporal analysis of human activities. One of the early innovations of Twitter is the use of hash- Tag as a unique tagging mechanism to provide additional information about a user post. From its emergence in late 2007, hashtags have been used extensively to express ideas, group tweets and report events among Twitter users. The increasing popularity of hashtags, in addition to their simple and concise structure, has inspired multiple recent studies to propose hashtag as a medium to assess diffusion of ideas in a virtual world. Studying collective eFFort of users in making a hashtag go viral can shed light on the complex process of idea diffusion that involves psychological, sociological and geographical elements.
AB - Since its birth in 2006, Twitter has evolved to a multi- purpose social media that attracts hundreds of millions of users to share their activities and ideas on a daily basis. The potential of capturing fine-grained activity log of users, combined with ever increasing geographical information derived from GPS-enabled devices, has made Twitter data a valuable source for spatiotemporal analysis of human activities. One of the early innovations of Twitter is the use of hash- Tag as a unique tagging mechanism to provide additional information about a user post. From its emergence in late 2007, hashtags have been used extensively to express ideas, group tweets and report events among Twitter users. The increasing popularity of hashtags, in addition to their simple and concise structure, has inspired multiple recent studies to propose hashtag as a medium to assess diffusion of ideas in a virtual world. Studying collective eFFort of users in making a hashtag go viral can shed light on the complex process of idea diffusion that involves psychological, sociological and geographical elements.
KW - Cybergis
KW - Geohashviz
KW - Hadoop
KW - Interactive visualization
KW - Social media
UR - http://www.scopus.com/inward/record.url?scp=84942810732&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84942810732&partnerID=8YFLogxK
U2 - 10.1145/1235
DO - 10.1145/1235
M3 - Conference contribution
AN - SCOPUS:84942810732
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the XSEDE 2015 Conference
PB - Association for Computing Machinery
ER -