Integrating Entity and Attribute for Object Similarity

摘要

In this paper, we propose an object similarity algorithm (OSA) to address the problem of similarity calculationin the complex graph network by integrating the entity and attribute similarity of the graph node. The proposed methodcan solve the similarity judgment of the objects that are lack of links or missing attributes by accident or intention. Experimentalresults have showed that our proposed object similarity method has the advantage of assessing the similarity ofobjects comprehensively, which can correct the one-sided judgment errors and improves the ability to distinguish similarityof graph objects; the method can also be used for homogeneous or heterogeneous networks.