The Topological Analysis And Social Algorithm Research Based On The Social Networks

With the growing popularity and development of web 2.0, SNS has become an important application on the Internet. Variety kinds of social network sites and services come out one after the other, and the number of users continues to grow, which bring a very considerable economic and research value. It has become a new research direction to analysis the network topology characteristics of social network and to explore the strengths and weaknesses in the social networks; at the same time, it has become one of the challenge topics that how to play the advantages of social networking to meet user requirements actively. This paper has made the social network topology analysis based on the YOU platform, and has promoted a Directed Recommendation Algorithm for User Requests based on Social Networks, then used the algorithm to optimize the system, and finally verified the advantages of the algorithm by actual data.This paper studied the contents as follows:The first is Social Network Analysis. This paper takes use of the visualization analysis and topology analysis in the SNA to make the proof of YOU as a scale-free social networks and small world properties with the real social data in the YOU. Then from the shortcomings which reflected by the network characteristics, it presents that we should provide a kind of service to promote the behaviors of lending and helping by the current social relationships, and to promote the formation and development of social relationships by the user activities. The second is Social Search. This paper makes a combination of a variety of static and dynamic data in the social networks to present an enhanced social recommendation algorithm, which is a directed recommendation algorithm for user requests based on social networks. It combines users’profile, social relationship and context information to provide the targeted recommendation for the user’s requests.In the tests of the algorithm performance, this algorithm is applied to the actual system of YOU, and this emulation uses the real users’ data and real users’ feedback. From the evaluation of SRDR algorithm, SRDR can well meet the development of the social network and the user’s demand of getting feedback of requests effectively and timely which is superior to the traditional key word search methods and random recommended method.