OSN`s have turned into the real world of data and excitement for many clients because of the colossal increment of the availability alternatives. Portable web has altered the clients to get to long range interpersonal communication destinations effortlessly and furthermore permits to different social multimedia content whenever, anyplace and in the interest of any character. Thusly, the association behaviors amongst clients and MSNs are becoming more extensive and entangled. This makes the investigation of client cooperations and behaviors more muddled. This paper principally expanded and enhanced the situation examination system for the particular social area, named as SocialSitu, and further proposed a novel calculation for clients` intention serialization investigation in light of great Generalized Sequential Pattern (GSP). We utilized the enormous volume of client behaviors records to investigate the continuous arrangement mode that is important to foresee client intention. Our test chosen two general sorts of intentions: playing and sharing of multimedia, which are the most widely recognized in MSNs, in view of the intention serialization calculation under various minimum support limit (Min_Support). By utilizing the clients` tiny behaviors examination on intentions, we found that the ideal personal conduct standards of every client under the Min_Support, and a client`s standards of conduct are diverse because of his/her character varieties in a huge volume of sessions information.

Multimedia social networks, situation analytics, intention prediction, behavior pattern, big data

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