Research on module relation tree similarity algorithm in social networks
Zhao Ying-mei · 2012
This paper proposed an analysis method based on the modular relational tree.It considered the correlative factor of interest,address and common factors between users and each entity,formulated different modular relational tree,then calculated the correlation of each factor according to the length of the path,and finally integrated module for each entity to filter out the most closely related entity.The experimental results show that the algorithm can filter out a lot of irrelevant information and identify the most relevant entity effectively,and the accuracy of search results is great improved.