Embedding complex networks in a low dimensional Euclidean space based on vertex dissimilarities

► The proposed method overcomes a conventional way of studying self-similarity. ► The real complex networks were embedded in a Euclidean space. ► The configuration of vertices was characterized by the multifractal. ► Model networks did not exhibit the self-similar property.