Instant messaging in teen life
CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work
Measurement and analysis of online social networks
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Social networks, gender, and friending: An analysis of MySpace member profiles
Journal of the American Society for Information Science and Technology
Comparison of online social relations in volume vs interaction: a case study of cyworld
Proceedings of the 8th ACM SIGCOMM conference on Internet measurement
Journal of the American Society for Information Science and Technology
User interactions in social networks and their implications
Proceedings of the 4th ACM European conference on Computer systems
Analyzing patterns of user content generation in online social networks
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Sharing location in online social networks
IEEE Network: The Magazine of Global Internetworking
A spatio-temporal approach to the discovery of online social trends
COCOA'11 Proceedings of the 5th international conference on Combinatorial optimization and applications
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Online social networks have become popular platforms for people to make connections, share information, and interact with each other. In an online social network, user publishing activities such as sending messages and posting photos represent online interactions between friends that involve the use of network and system resources. As more and more businesses use online social networks as a means to promote their "brand names," a good understanding of user publishing characteristics is important not only for capacity planning (server scaling estimation, network bandwidth provisioning, and performance tuning), but also for marketing analysis and security measures of online social networks. Recently there have been many efforts to measure and analyze various characteristics of online social networks. Most of these studies have focused on the network graph properties such as node degree distribution, clustering coefficient, and connected components. In this work, we measure and analyze the gender-specific user publishing characteristics on MySpace. Our results show that there are recognizable patterns with respect to profile attributes, user interactions, temporal usages, and blog contents for users of different genders. In particular, gender neutral profiles (most of them are music bands, TV shows, and other commercial sites) differ significantly from normal male and female profiles for several publishing patterns.