Gang Wang
Ben Y. Zhao
ABSTRACT
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.
- What is quora algorithm/formula for determining the ordering or ranking of answers on a question? Quora, Feb. 2011. http://www.quora.com/Quora-product/What-is-Quoras-algorithm-formula-for-determining-the-ordering-ranking-of-answers-on-a-question.Google Scholar
- How many questions are on quora, answered or not? Quora, Mar. 2012. http://www.quora.com/Quora-Usage-Data-and-Analysis/How-many-questions-are-on-Quora-answered-or-not.Google Scholar
- On what topics does quora have the best questions and answers? Quora, Apr. 2012. http://www.quora.com/Lists-of-Top-Quora-Content/On-what-topics-does-Quora-have-the-best-questions-and-answers.Google Scholar
- What is a closed question? Stack Overflow, Oct. 2012. http://meta.stackoverflow.com/questions/10582/what-is-a-closed-question.Google Scholar
- What is quora's policy on question deletion? Quora, Jun. 2012. http://www.quora.com/Quora-Policies-and-Guidelines/What-is-Quoras-policy-on-question-deletion.Google Scholar
- Who are all of the reviewers on quora? Quora, Nov. 2012. http://www.quora.com/Quora-Reviewers/Who-are-all-of-the-reviewers-on-Quora.Google Scholar
- Who are the current site admins of quora? Quora, Aug. 2012. http://www.quora.com/Quora-Admins/Who-are-the-current-site-admins-of-Quora.Google Scholar
- Adamic, L. A., Zhang, J., Bakshy, E., and Ackerman, M. S. Knowledge sharing and yahoo answers: everyone knows something. In Proc. of WWW (2008). Google ScholarDigital Library
- Anderson, A., Huttenlocher, D., Kleinberg, J., and Leskovec, J. Discovering value from community activity on focused question answering sites: a case study of stack overflow. In Proc. of SIGKDD (2012). Google ScholarDigital Library
- Barabasi, A.-L., and Albert, R. Emergence of scaling in random networks. Science 286 (1999).Google Scholar
- Dagum, C. The Generation and Distribution of Income, the Lorenz Curve and the Gini Ratio. Economie Applique 33 (1980), 327--367.Google Scholar
- Harper, F. M., Moy, D., and Konstan, J. A. Facts or friends?: distinguishing informational and conversational questions in social Q&A sites. In Proc. of CHI (2009). Google ScholarDigital Library
- Harper, F. M., Raban, D., Rafaeli, S., and Konstan, J. A. Predictors of answer quality in online Q&A sites. In Proc. of CHI (2008). Google ScholarDigital Library
- Horowitz, D., and Kamvar, S. D. The anatomy of a large-scale social search engine. In Proc. of WWW (2010). Google ScholarDigital Library
- Hsieh, G., and Counts, S. mimir: A market-based real-time question and answer service. In Proc. of CHI (2009). Google ScholarDigital Library
- Jeon, J., Croft, W. B., Lee, J. H., and Park, S. A framework to predict the quality of answers with non-textual features. In Proc. of SIGIR (2006). Google ScholarDigital Library
- Jurczyk, P., and Agichtein, E. Discovering authorities in question answer communities by using link analysis. In Proc. of CIKM (2007). Google ScholarDigital Library
- Karypis, G., Kumar, V., and Kumar, V. Multilevel k-way partitioning scheme for irregular graphs. Journal of Parallel and Distributed Computing 48 (1998), 96--129. Google ScholarDigital Library
- Lerman, K., and Galstyan, A. Analysis of social voting patterns on digg. In Proc. of WOSN (2008). Google ScholarDigital Library
- Li, B., Jin, T., Lyu, M. R., King, I., and Mak, B. Analyzing and predicting question quality in community question answering services. In Proc. of CQA Workshop (WWW) (2012). Google ScholarDigital Library
- Li, B., and King, I. Routing questions to appropriate answerers in community question answering services. In Proc. of CIKM (2010). Google ScholarDigital Library
- Mamykina, L., Manoim, B., Mittal, M., Hripcsak, G., and Hartmann, B. Design lessons from the fastest Q&A site in the west. In Proc. of CHI (2011). Google ScholarDigital Library
- McGee, M. Quora traffic has grown 882% in the last year, but it's still just a fraction of what yahoo answers gets. MarketingLand, Dec. 2011.Google Scholar
- McGee, M. Yahoo answers hits 300 million questions, but Q&A activity is declining. Search Engine Land, Jul. 2012.Google Scholar
- Mendes Rodrigues, E., and Milic-Frayling, N. Socializing or knowledge sharing?: characterizing social intent in community question answering. In Proc. of CIKM (2009). Google ScholarDigital Library
- Mislove, A., Marcon, M., Gummadi, K. P., Druschel, P., and Bhattacharje, B. Measurement and analysis of online social networks. In Proc. of IMC (2007). Google ScholarDigital Library
- Morris, M. R., Teevan, J., and Panovich, K. What do people ask their social networks, and why?: a survey study of status message Q&A behavior. In Proc. of CHI (2010). Google ScholarDigital Library
- Pal, A., Chang, S., and Konstan, J. A. Evolution of experts in question answering communities. In Proc. of ICWSM (2012).Google Scholar
- Panovich, K., Miller, R., and Karger, D. Tie strength in question & answer on social network sites. In Proc. of CSCW (2012). Google ScholarDigital Library
- Paul, S. A., Hong, L., and Chi, E. H. Is twitter a good place for asking questions? a characterization study. In Proc. of ICWSM (2011).Google Scholar
- Paul, S. A., Hong, L., and Chi, E. H. Who is authoritative? understanding reputation mechanisms in quora. In Proc. of Collective Intelligence (Cambridge, MA, April 2012).Google Scholar
- Rodrigues, E. M., Milic-Frayling, N., and Fortuna, B. Social tagging behaviour in community-driven question answering. In Proc. of WI-IAT (2008). Google ScholarDigital Library
- Shah, C., and Pomerantz, J. Evaluating and predicting answer quality in community QA. In Proc. of SIGIR (2010). Google ScholarDigital Library
- Shtok, A., Dror, G., Maarek, Y., and Szpektor, I. Learning from the past: answering new questions with past answers. In Proc. of WWW (2012). Google ScholarDigital Library
- Tausczik, Y. R., and Pennebaker, J. W. Predicting the perceived quality of online mathematics contributions from users' reputations. In Proc. of CHI (2011). Google ScholarDigital Library
- Wang, G., Mohanlal, M., Wilson, C., Wang, X., Metzger, M., Zheng, H., and Zhao, B. Y. Social turing tests: Crowdsourcing sybil detection. In Proc. of NDSS (San Diego, CA, February 2013).Google Scholar
- Wang, G., Wilson, C., Zhao, X., Zhu, Y., Mohanlal, M., Zheng, H., and Zhao, B. Y. Serf and turf: crowdturfing for fun and profit. In Proc. of WWW (Lyon, France, April 2012). Google ScholarDigital Library
- Wilson, C., Boe, B., Sala, A., Puttaswamy, K. P. N., and Zhao, B. Y. User interactions in social networks and their implications. In Proc. of EuroSys (Nuremburg, Germany, April 2009). Google ScholarDigital Library
- Yang, Z., Wilson, C., Wang, X., Gao, T., Zhao, B. Y., and Dai, Y. Uncovering social network sybils in the wild. In Proc. of IMC (Berlin, Germany, November 2011). Google ScholarDigital Library
- Zhang, J., Ackerman, M. S., and Adamic, L. Expertise networks in online communities: structure and algorithms. In Proc. of WWW (2007). Google ScholarDigital Library
Index Terms
- Wisdom in the social crowd: an analysis of quora
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