  How to evaluate the importance of nodes is essential in research of complex
network. There are many methods proposed for solving this problem, but they
still have room to be improved. In this paper, a new approach called local
volume information dimension is proposed. In this method, the sum of degree of
nodes within different distances of central node is calculated. The information
within the certain distance is described by the information entropy. Compared
to other methods, the proposed method considers the information of the nodes
from different distances more comprehensively. For the purpose of showing the
effectiveness of the proposed method, experiments on real-world networks are
implemented. Promising results indicate the effectiveness of the proposed
method.
