Multilevel k-way partitioning scheme for irregular graphs
Journal of Parallel and Distributed Computing
A framework to predict the quality of answers with non-textual features
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Expertise networks in online communities: structure and algorithms
Proceedings of the 16th international conference on World Wide Web
Measurement and analysis of online social networks
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Discovering authorities in question answer communities by using link analysis
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Predictors of answer quality in online Q&A sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Knowledge sharing and yahoo answers: everyone knows something
Proceedings of the 17th international conference on World Wide Web
Analysis of social voting patterns on digg
Proceedings of the first workshop on Online social networks
Social Tagging Behaviour in Community-Driven Question Answering
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Facts or friends?: distinguishing informational and conversational questions in social Q&A sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
mimir: a market-based real-time question and answer service
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
User interactions in social networks and their implications
Proceedings of the 4th ACM European conference on Computer systems
Socializing or knowledge sharing?: characterizing social intent in community question answering
Proceedings of the 18th ACM conference on Information and knowledge management
What do people ask their social networks, and why?: a survey study of status message q&a behavior
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The anatomy of a large-scale social search engine
Proceedings of the 19th international conference on World wide web
Evaluating and predicting answer quality in community QA
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Routing questions to appropriate answerers in community question answering services
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Predicting the perceived quality of online mathematics contributions from users' reputations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Design lessons from the fastest q&a site in the west
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Uncovering social network sybils in the wild
Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference
Tie strength in question & answer on social network sites
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Serf and turf: crowdturfing for fun and profit
Proceedings of the 21st international conference on World Wide Web
Learning from the past: answering new questions with past answers
Proceedings of the 21st international conference on World Wide Web
Analyzing and predicting question quality in community question answering services
Proceedings of the 21st international conference companion on World Wide Web
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Improving search relevance for short queries in community question answering
Proceedings of the 7th ACM international conference on Web search and data mining
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Efforts such as Wikipedia have shown the ability of user communities to collect, organize and curate information on the Internet. Recently, a number of question and answer (Q&A) sites have successfully built large growing knowledge repositories, each driven by a wide range of questions and answers from its users community. While sites like Yahoo Answers have stalled and begun to shrink, one site still going strong is Quora, a rapidly growing service that augments a regular Q&A system with social links between users. Despite its success, however, little is known about what drives Quora's growth, and how it continues to connect visitors and experts to the right questions as it grows. In this paper, we present results of a detailed analysis of Quora using measurements. We shed light on the impact of three different connection networks (or graphs) inside Quora, a graph connecting topics to users, a social graph connecting users, and a graph connecting related questions. Our results show that heterogeneity in the user and question graphs are significant contributors to the quality of Quora's knowledge base. One drives the attention and activity of users, and the other directs them to a small set of popular and interesting questions.