Work, friendship, and media use for information exchange in a networked organization
Journal of the American Society for Information Science
The dynamics of mass interaction
CSCW '98 Proceedings of the 1998 ACM conference on Computer supported cooperative work
Lurker demographics: counting the silent
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Observed behavior and perceived value of authors in usenet newsgroups: bridging the gap
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Empirical evidence for information overload in mass interaction
CHI '01 Extended Abstracts on Human Factors in Computing Systems
Information Systems Research
Persistence and Lurkers in Discussion Lists: A Pilot Study
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 3 - Volume 3
Exploring the community structure of newsgroups
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Using social psychology to motivate contributions to online communities
CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work
Motivating Content Contributions to Online Communities: Toward a More Comprehensive Theory
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences - Volume 07
Evaluating similarity measures: a large-scale study in the orkut social network
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
You Are Who You Talk To: Detecting Roles in Usenet Newsgroups
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 03
Motivating participation by displaying the value of contribution
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Group formation in large social networks: membership, growth, and evolution
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Social Networking System for Academic Collaboration
CDVE '08 Proceedings of the 5th international conference on Cooperative Design, Visualization, and Engineering
Identifying user behavior in online social networks
Proceedings of the 1st Workshop on Social Network Systems
Discovering leaders from community actions
Proceedings of the 17th ACM conference on Information and knowledge management
User grouping behavior in online forums
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Social action tracking via noise tolerant time-varying factor graphs
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Role defining using behavior-based clustering in telecommunication network
Expert Systems with Applications: An International Journal
A bounded confidence approach to understanding user participation in peer production systems
SocInfo'11 Proceedings of the Third international conference on Social informatics
Modelling and analysis of user behaviour in online communities
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
Who will follow you back?: reciprocal relationship prediction
Proceedings of the 20th ACM international conference on Information and knowledge management
Building a role search engine for social media
Proceedings of the 21st international conference companion on World Wide Web
Distinguishing topical and social groups based on common identity and bond theory
Proceedings of the sixth ACM international conference on Web search and data mining
On participation in group chats on Twitter
Proceedings of the 22nd international conference on World Wide Web
Proceedings of the 22nd international conference on World Wide Web
Learning to predict reciprocity and triadic closure in social networks
ACM Transactions on Knowledge Discovery from Data (TKDD)
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Online communities in the form of message boards, listservs, and newsgroups continue to represent a considerable amount of the social activity on the Internet. Every year thousands of groups ourish while others decline into relative obscurity; likewise, millions of members join a new community every year, some of whom will come to manage or moderate the conversation while others simply sit by the sidelines and observe. These processes of group formation, growth, and dissolution are central in social science, and in an online venue they have ramifications for the design and development of community software In this paper we explore a large corpus of thriving online communities. These groups vary widely in size, moderation and privacy, and cover an equally diverse set of subject matter. We present a broad range of descriptive statistics of these groups. Using metadata from groups, members, and individual messages, we identify users who post and are replied-to frequently by multiple group members; we classify these high-engagement users based on the longevity of their engagements. We show that users who will go on to become long-lived, highly-engaged users experience significantly better treatment than other users from the moment they join the group, well before there is an opportunity for them to develop a long-standing relationship with members of the group We present a simple model explaining long-term heavy engagement as a combination of user-dependent and group-dependent factors. Using this model as an analytical tool, we show that properties of the user alone are sufficient to explain 95% of all memberships, but introducing a small amount of per-group information dramatically improves our ability to model users belonging to multiple groups.