A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
SIAM Journal on Scientific Computing
Machine Learning
Women go with the (optical) flow
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The link prediction problem for social networks
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Improving recommendation lists through topic diversification
WWW '05 Proceedings of the 14th international conference on World Wide Web
Tinkering and gender in end-user programmers' debugging
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
tagging, communities, vocabulary, evolution
CSCW '06 Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work
Social networks, gender, and friending: An analysis of MySpace member profiles
Journal of the American Society for Information Science and Technology
Eliciting and focusing geographic volunteer work
Proceedings of the 2010 ACM conference on Computer supported cooperative work
The social honeypot project: protecting online communities from spammers
Proceedings of the 19th international conference on World wide web
Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network
SOCIALCOM '10 Proceedings of the 2010 IEEE Second International Conference on Social Computing
Network properties and social sharing of emotions in social awareness streams
Proceedings of the ACM 2011 conference on Computer supported cooperative work
My kind of people?: perceptions about wikipedia contributors and their motivations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
WP:clubhouse?: an exploration of Wikipedia's gender imbalance
Proceedings of the 7th International Symposium on Wikis and Open Collaboration
A theoretical agenda for feminist HCI
Interacting with Computers
Twitter and the development of an audience: those who stay on topic thrive!
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A gender based study of tagging behavior in twitter
Proceedings of the 23rd ACM conference on Hypertext and social media
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
A longitudinal study of follow predictors on twitter
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
"I need to try this"?: a statistical overview of pinterest
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Pinterest is a popular social curation site where people collect, organize, and share pictures of items. We studied a fundamental issue for such sites: what patterns of activity attract attention (audience and content reposting)-- We organized our studies around two key factors: the extent to which users specialize in particular topics, and homophily among users. We also considered the existence of differences between female and male users. We found: (a) women and men differed in the types of content they collected and the degree to which they specialized; male Pinterest users were not particularly interested in stereotypically male topics; (b) sharing diverse types of content increases your following, but only up to a certain point; (c) homophily drives repinning: people repin content from other users who share their interests; homophily also affects following, but to a lesser extent. Our findings suggest strategies both for users (e.g., strategies to attract an audience) and maintainers (e.g., content recommendation methods) of social curation sites.