Concurrent Bursty Behavior of Social Sensors in Sporting Events.
The advent of social media expands our ability to transmit information and connect with others instantly, which enables us to behave as "social sensors." Here, we studied concurrent bursty behavior of Twitter users during major sporting events to determine their function as social sensors....
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2015-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC4684370?pdf=render |
| _version_ | 1818129335407607808 |
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| author | Yuki Takeichi Kazutoshi Sasahara Reiji Suzuki Takaya Arita |
| author_facet | Yuki Takeichi Kazutoshi Sasahara Reiji Suzuki Takaya Arita |
| author_sort | Yuki Takeichi |
| collection | DOAJ |
| description | The advent of social media expands our ability to transmit information and connect with others instantly, which enables us to behave as "social sensors." Here, we studied concurrent bursty behavior of Twitter users during major sporting events to determine their function as social sensors. We show that the degree of concurrent bursts in tweets (posts) and retweets (re-posts) works as a strong indicator of winning or losing a game. More specifically, our simple tweet analysis of Japanese professional baseball games in 2013 revealed that social sensors can immediately react to positive and negative events through bursts of tweets, but that positive events are more likely to induce a subsequent burst of retweets. We confirm that these findings also hold true for tweets related to Major League Baseball games in 2015. Furthermore, we demonstrate active interactions among social sensors by constructing retweet networks during a baseball game. The resulting networks commonly exhibited user clusters depending on the baseball team, with a scale-free connectedness that is indicative of a substantial difference in user popularity as an information source. While previous studies have mainly focused on bursts of tweets as a simple indicator of a real-world event, the temporal correlation between tweets and retweets implies unique aspects of social sensors, offering new insights into human behavior in a highly connected world. |
| first_indexed | 2024-12-11T07:47:31Z |
| format | Article |
| id | doaj.art-d3398b11556b4c609c425106e44b2bda |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-11T07:47:31Z |
| publishDate | 2015-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-d3398b11556b4c609c425106e44b2bda2022-12-22T01:15:26ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-011012e014464610.1371/journal.pone.0144646Concurrent Bursty Behavior of Social Sensors in Sporting Events.Yuki TakeichiKazutoshi SasaharaReiji SuzukiTakaya AritaThe advent of social media expands our ability to transmit information and connect with others instantly, which enables us to behave as "social sensors." Here, we studied concurrent bursty behavior of Twitter users during major sporting events to determine their function as social sensors. We show that the degree of concurrent bursts in tweets (posts) and retweets (re-posts) works as a strong indicator of winning or losing a game. More specifically, our simple tweet analysis of Japanese professional baseball games in 2013 revealed that social sensors can immediately react to positive and negative events through bursts of tweets, but that positive events are more likely to induce a subsequent burst of retweets. We confirm that these findings also hold true for tweets related to Major League Baseball games in 2015. Furthermore, we demonstrate active interactions among social sensors by constructing retweet networks during a baseball game. The resulting networks commonly exhibited user clusters depending on the baseball team, with a scale-free connectedness that is indicative of a substantial difference in user popularity as an information source. While previous studies have mainly focused on bursts of tweets as a simple indicator of a real-world event, the temporal correlation between tweets and retweets implies unique aspects of social sensors, offering new insights into human behavior in a highly connected world.http://europepmc.org/articles/PMC4684370?pdf=render |
| spellingShingle | Yuki Takeichi Kazutoshi Sasahara Reiji Suzuki Takaya Arita Concurrent Bursty Behavior of Social Sensors in Sporting Events. PLoS ONE |
| title | Concurrent Bursty Behavior of Social Sensors in Sporting Events. |
| title_full | Concurrent Bursty Behavior of Social Sensors in Sporting Events. |
| title_fullStr | Concurrent Bursty Behavior of Social Sensors in Sporting Events. |
| title_full_unstemmed | Concurrent Bursty Behavior of Social Sensors in Sporting Events. |
| title_short | Concurrent Bursty Behavior of Social Sensors in Sporting Events. |
| title_sort | concurrent bursty behavior of social sensors in sporting events |
| url | http://europepmc.org/articles/PMC4684370?pdf=render |
| work_keys_str_mv | AT yukitakeichi concurrentburstybehaviorofsocialsensorsinsportingevents AT kazutoshisasahara concurrentburstybehaviorofsocialsensorsinsportingevents AT reijisuzuki concurrentburstybehaviorofsocialsensorsinsportingevents AT takayaarita concurrentburstybehaviorofsocialsensorsinsportingevents |