Most existing measurement and analysis projects are led by either academic groups or ISPs, without the active involvement of Online Social Networks service providers. Such a situation limits the insight of the study. On one hand, academic researchers always use extensive crawling to obtain the data, which encounters many restrictions from the Online Social Networks providers, such as traffic control (how many messages per IP and/or per account can be fetched in one hour). Also, some users may use privacy options to make their data unavailable. Last but not least, the huge number of users makes it almost impossible to get a timely snapshot, so data consistency cannot be guaranteed. On the other hand, although an ISP is able to capture and analyze all its traffic to/from an Online Social Networks site through traffic monitoring, it can only get a partial view of the whole site; that is, only users who get access to Online Social Networks through a specific ISP’s infrastructure can be observed. As we have discussed, user behavior study can be beneficial for Online Social Networks providers themselves. We envision that Online Social Networks providers can collaborate with academia and industrial researchers in order to understand user behavior in an insightful way. This can enhance the user experience interactively and quickly. Also, this will save operational costs for Online Social Networks providers.