%0 Conference Paper %1 wen2014twitter %A Wen, Xidao %A Lin, Yu-Ru %A Trattner, Christoph %A Parra, Denis %B Proceedings of the 25th ACM Conference on Hypertext and Social Media %C New York, NY, USA %D 2014 %I ACM %K analysis conference network researcher sna social temporal twitter %P 285--290 %R 10.1145/2631775.2631826 %T Twitter in Academic Conferences: Usage, Networking and Participation over Time %U http://doi.acm.org/10.1145/2631775.2631826 %X Twitter is often referred to as a backchannel for conferences. While the main conference takes place in a physical setting, attendees and virtual attendees socialize, introduce new ideas or broadcast information by microblogging on Twitter. In this paper we analyze the scholars' Twitter use in 16 Computer Science conferences over a timespan of five years. Our primary finding is that over the years there are increasing differences with respect to conversation use and information use in Twitter. We studied the interaction network between users to understand whether assumptions about the structure of the conversations hold over time and between different types of interactions, such as retweets, replies, and mentions. While `people come and people go,' we want to understand what keeps people staying engaged with the conference on Twitter. By casting the problem as a classification task, we find different factors that contribute to the continuing participation of users to the online Twitter conference activity. These results have implications for research communities to implement strategies for continuous and active participation among members. %@ 978-1-4503-2954-5

@inproceedings{wen2014twitter, abstract = {Twitter is often referred to as a backchannel for conferences. While the main conference takes place in a physical setting, attendees and virtual attendees socialize, introduce new ideas or broadcast information by microblogging on Twitter. In this paper we analyze the scholars' Twitter use in 16 Computer Science conferences over a timespan of five years. Our primary finding is that over the years there are increasing differences with respect to conversation use and information use in Twitter. We studied the interaction network between users to understand whether assumptions about the structure of the conversations hold over time and between different types of interactions, such as retweets, replies, and mentions. While `people come and people go,' we want to understand what keeps people staying engaged with the conference on Twitter. By casting the problem as a classification task, we find different factors that contribute to the continuing participation of users to the online Twitter conference activity. These results have implications for research communities to implement strategies for continuous and active participation among members.}, acmid = {2631826}, added-at = {2015-02-23T08:49:31.000+0100}, address = {New York, NY, USA}, author = {Wen, Xidao and Lin, Yu-Ru and Trattner, Christoph and Parra, Denis}, biburl = {https://www.bibsonomy.org/bibtex/201df6cf7b3d11d5c31264db66568564e/jaeschke}, booktitle = {Proceedings of the 25th ACM Conference on Hypertext and Social Media}, description = {Twitter in academic conferences}, doi = {10.1145/2631775.2631826}, interhash = {ce419caf4f774ec44d3217716f8eeccd}, intrahash = {01df6cf7b3d11d5c31264db66568564e}, isbn = {978-1-4503-2954-5}, keywords = {analysis conference network researcher sna social temporal twitter}, location = {Santiago, Chile}, numpages = {6}, pages = {285--290}, publisher = {ACM}, series = {HT '14}, timestamp = {2015-02-23T08:49:31.000+0100}, title = {Twitter in Academic Conferences: Usage, Networking and Participation over Time}, url = {http://doi.acm.org/10.1145/2631775.2631826}, year = 2014 }