Group chats on Twitter

作者: James Cook , Krishnaram Kenthapadi , Nina Mishra

DOI: 10.1145/2488388.2488409

关键词: Variety (linguistics)Group (mathematics)ConversationMoodSubject (documents)World Wide WebMedia studiesComputer science

摘要: We report on a new kind of group conversation Twitter that we call chat. These chats are periodic, synchronized conversations focused specific topics and they exist at massive scale. The groups the members these not explicitly known. Rather, agree hashtag meeting time (e.g, 3pm Pacific Time every Wednesday) to discuss subject interest. Topics numerous varied. Some support groups, for example, post-partum depression mood disorder groups. Others about passionate interest: include skiing, photography, movies, wine foodie communities. develop definition is inspired by how sociologists define present an algorithm discovering prove our algorithms find all under certain assumptions. While course known people who participate in discussions, what do believe scale variety provide some insight into nature based over two years tweets. Finally, show growing phenomenon hope reporting their existence propels growth even further.

参考文章(23)
Philip S. Yu, Vittorio Castelli, Michail Vlachos, On Periodicity Detection and Structural Periodic Similarity. siam international conference on data mining. pp. 449- 460 ,(2005)
Marion Herbert, Why All the Chatter about #EdChat?. District Administration. ,vol. 48, ,(2012)
Michelle R. Davis, Social Networking Goes to School. Education Digest: Essential Readings Condensed for Quick Review. ,vol. 76, pp. 14- 19 ,(2010)
Holly Arrow, Joseph Edward McGrath, Jennifer L. Berdahl, Small Groups as Complex Systems: Formation, Coordination, Development, and Adaptation ,(2000)
Jon Kleinberg, Bursty and Hierarchical Structure in Streams Data Mining and Knowledge Discovery. ,vol. 7, pp. 373- 397 ,(2003) , 10.1023/A:1024940629314
Götz E. Pfander, John J. Benedetto, Periodic Wavelet Transforms and Periodicity Detection Siam Journal on Applied Mathematics. ,vol. 62, pp. 1329- 1368 ,(2002) , 10.1137/S0036139900379638
Grace J. Johnson, Paul J. Ambrose, Neo-tribes: the power and potential of online communities in health care Communications of The ACM. ,vol. 49, pp. 107- 113 ,(2006) , 10.1145/1107458.1107463
STEVEN L. JOHNSON, SHOULD I STAY OR SHOULD I GO? CONTINUED PARTICIPATION INTENTIONS IN ONLINE COMMUNITIES. Academy of Management Proceedings. ,vol. 2010, pp. 1- 6 ,(2010) , 10.5465/AMBPP.2010.54500722
Lars Backstrom, Ravi Kumar, Cameron Marlow, Jasmine Novak, Andrew Tomkins, Preferential behavior in online groups web search and data mining. pp. 117- 128 ,(2008) , 10.1145/1341531.1341549
Jan Heim, Petter Bae Brandtzæg, User loyalty and online communities: why members of online communities are not faithful intelligent technologies for interactive entertainment. pp. 11- ,(2008) , 10.5555/1363200.1363215