Abstract:

Evaluation of user relationship strengths of Microblog is a basis for analysis and research of Microblog network. This paper fetches personal information, mutual information and fans information of Microblog users, puts up with a distance-based evaluation model to accurately evaluate and classify the relationship strengths between Microblog users. The model based on three assumptions, draw up the most basic user relationship strengths group, and then the relationship between the intensity of the unknown are classified according to the distance function. Compared the predictions derived from the model and result which derived through three attribute value weighted fusion: the relative exchange value of the user, the user background similarity and whether the usermutual followed, we can infer that with comprehensive, accurate and visible results, the model can evaluate the relationship strengths between users combined with their general information, andindicates that this model both combines the advantages of weighted fusion method and avoids the disadvantages of the weighted fusion, which indicated the advantages of machine learning, which provides the most direct references for studying and judging Microblog comments.

Key words: microblog, user srelationship strengths, distance, directed weighted graph