Why we twitter: understanding microblogging usage and communities
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Beyond Microblogging: Conversation and Collaboration via Twitter
HICSS '09 Proceedings of the 42nd Hawaii International Conference on System Sciences
Predicting tie strength with social media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Is it really about me?: message content in social awareness streams
Proceedings of the 2010 ACM conference on Computer supported cooperative work
Characterization of the twitter @replies network: are user ties social or topical?
SMUC '10 Proceedings of the 2nd international workshop on Search and mining user-generated contents
Speak little and well: recommending conversations in online social streams
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Part-of-speech tagging for Twitter: annotation, features, and experiments
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Finding your friends and following them to where you are
Proceedings of the fifth ACM international conference on Web search and data mining
Predicting tie strength in a new medium
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
A Rule-Based Virtual Director Enhancing Group Communication
ICMEW '12 Proceedings of the 2012 IEEE International Conference on Multimedia and Expo Workshops
Predicting Communication Intention in Social Networks
SOCIALCOM-PASSAT '12 Proceedings of the 2012 ASE/IEEE International Conference on Social Computing and 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust
It's Not in Their Tweets: Modeling Topical Expertise of Twitter Users
SOCIALCOM-PASSAT '12 Proceedings of the 2012 ASE/IEEE International Conference on Social Computing and 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust
Who will follow whom? exploiting semantics for link prediction in attention-information networks
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
Semantic sentiment analysis of twitter
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
Virtual director technology for social video communication and live event broadcast production
Proceedings of the 21st ACM international conference on Multimedia
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Anticipating repliers in online conversations is a fundamental challenge for computer mediated communication systems which aim to make textual, audio and/or video communication as natural as face to face communication. The massive amounts of data that social media generates has facilitated the study of online conversations on a scale unimaginable a few years ago. In this work we use data from Twitter to explore the predictability of repliers, and investigate the factors which influence who will reply to a message. Our results suggest that social factors, which describe the strength of relations between users, are more useful than topical factors. This indicates that Twitter users' reply behavior is more impacted by social relations than by topics. Finally, we show that a binary classification model, which differentiates between users who will and users who will not reply to a certain message, may achieve an F1-score of 0.74 when using social features.