TY - GEN
T1 - Wisdom in the social crowd
T2 - 22nd International Conference on World Wide Web, WWW 2013
AU - Wang, Gang
AU - Gill, Konark
AU - Mohanlal, Manish
AU - Zheng, Haitao
AU - Zhao, Ben Y.
PY - 2013
Y1 - 2013
N2 - 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. Copyright is held by the International World Wide Web Conference Committee (IW3C2).
AB - 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. Copyright is held by the International World Wide Web Conference Committee (IW3C2).
KW - Graphs
KW - Online social networks
KW - Q& A system
UR - http://www.scopus.com/inward/record.url?scp=84893143430&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893143430&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84893143430
SN - 9781450320351
T3 - WWW 2013 - Proceedings of the 22nd International Conference on World Wide Web
SP - 1341
EP - 1351
BT - WWW 2013 - Proceedings of the 22nd International Conference on World Wide Web
Y2 - 13 May 2013 through 17 May 2013
ER -