Relation extraction between entities from text plays an important role in information extraction and knowledge discovery related tasks. Relation extraction systems produce a large number of candidates where many of them are not correct. A relation validation method justifies a claimed relation based on the information provided by a system. In this paper, we propose some features by analyzing the community graphs of entities to account for some sort of world knowledge. The proposed features improve validation of relations significantly when they are combined with voting and some state-of-the-art linguistic features.