Estimating community feedback effect on topic choice in social media with predictive modeling https://t.co/ssJbi6BDAj
RT @net_science: Estimating community feedback effect on topic choice in social media with predictive modeling https://t.co/3IYxkz2Hb8
RT @SpringerPhysics: Estimating community feedback effect on topic choice in social media with predictive modeling https://t.co/Yg3q0vGLHn
Estimating community feedback effect on topic choice in social media with predictive modeling https://t.co/3IYxkz2Hb8
Estimating community feedback effect on topic choice in social media with predictive modeling https://t.co/1bAo3RM7FM
Estimating community feedback effect on topic choice in social media with predictive modeling https://t.co/Yg3q0vGLHn
リツイートやいいねをたくさんされると、そのトピックを続けて投稿する傾向にあるみたいです。 @davlanade, @RyotaKobayash11, @ingmarweber との共同研究の論文が昨日出版されました。
RT @przemyslslaw: Social media users are more likely to continue posting on a given topic if their audience shares/comments/likes it. We me…
RT @przemyslslaw: Social media users are more likely to continue posting on a given topic if their audience shares/comments/likes it. We me…
RT @przemyslslaw: Social media users are more likely to continue posting on a given topic if their audience shares/comments/likes it. We me…
RT @przemyslslaw: Social media users are more likely to continue posting on a given topic if their audience shares/comments/likes it. We me…
Social media users are more likely to continue posting on a given topic if their audience shares/comments/likes it. We measure this effect and discuss its far-reaching consequences in our recent publication with @davlanade, @RyotaKobayash11, @ingmarweber: