The Relation And Analysis Of Relation-network Analysis Technology Based On MongoDB

Social network analysis is the method of quantitative analysis based on mathematical method and graph theory by sociologists. It focuses on the model of relationships from a unique point of view and it has been played a significant role in information science field such as data mining and information retrieval. The theme of this paper is to find a universal data acquisition and analysis technology which can solve the problem of the discovery of social relationship in all kinds of magnanimous database. The main works are listed as follows:1.In social network analysis processing, we noticed that the source of data is usually unitary and it is hard to associate different database, so we brings out a kind of conditional restriction model which used to extracting information from database and build up basic relationship according to the characteristic of database extracted information..2. Compared common center degree algorithm, selected the eigenvector center index for relation network for core mining which can adapt to multi-dimensional relations network analysis. Combined with RNN(reciprocal nearest neighbor)algorithm, on relationship network Block-modeling, constructed the relationship of database information basic flow analysis.3. It designs a framework based on MongoDB relationship network analysis system. And completes the exploitation of an experimental system as well as experimental analysis of the extracted model and relationship model algorithm under the J2EE framework. Simulation results indicated that each part of the system can work well and can content with the design requirements of relationship discovering and analysising in magnanimous database.