Mining the network value of customers
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Measurement and analysis of online social networks
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Unveiling facebook: a measurement study of social network based applications
Proceedings of the 8th ACM SIGCOMM conference on Internet measurement
Social networking on mobile environment
Proceedings of the ACM/IFIP/USENIX Middleware '08 Conference Companion
On the evolution of user interaction in Facebook
Proceedings of the 2nd ACM workshop on Online social networks
Hot today, gone tomorrow: on the migration of MySpace users
Proceedings of the 2nd ACM workshop on Online social networks
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
The role of social networks in information diffusion
Proceedings of the 21st international conference on World Wide Web
Dynamic selection of activation targets to boost the influence spread in social networks
Proceedings of the 21st international conference companion on World Wide Web
Information diffusion and external influence in networks
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 3rd Annual ACM Web Science Conference
Maximizing Information Spread through Influence Structures in Social Networks
ICDMW '12 Proceedings of the 2012 IEEE 12th International Conference on Data Mining Workshops
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With the rapid development of online social networks, a lot of social networking sites such as Facebook, MySpace or Twitter have been present. By using mobile devices such as smartphones and tablet computers, people can build online relationship with their friends anytime and anywhere. In this paper we design and implement a smartphone application called Buddy2GuessWho. This application provides an opportunity for users to make a guess for their friends by asking some questions. The purpose of exploiting Buddy2GuessWho is to investigate the influence of social relationship between a user and his/her friends. The numerical results show that 65.3% of users will make a correct guess at the first time if they are well-acquainted. The results also show that the more questions the users ask, the less acquaintance they have with that person. Moreover, the error rate of guessing increases as the level of acquaintance is decreased.