A topic of interest-based approach on online social network services for information sharing

Updating status messages on social network become one of the main activities of the Internet users. However, sharing a story become more useful when it can be addressed appropriately to other users. In this article, we propose a novel approach to sharing the status message appropriately, to enhance the usefulness of the information according to user interest. We emphasize to leverage state-of-the-art topic modeling technique and similarity measurement to obtain topic interest and similarity between users respectively. We evaluated our approach using data gathered from real-world Twitter datasets and English Wikipedia. In the end, the proposed approach can find the users appropriately on their interest in English tweets. We conclude that this approach can be adopted in different social networks platform for sharing the information to specific user or group for the usefulness of information to the social networks users.