Algorithm 1 Power Method

Input: Network G.

Output: Significance of each node.

1. Calculate the second-order neighborhood centrality of each node according to Formula (2).

2. Determine the betweenness centrality of each node using Formula (3).

3. Calculate the second-order neighborhood betweenness entropy according to Formula (6).

4. Calculate the fuzzy local dimension according to Formulas (7)–(10).

5. Substitute the results into Formulas (11) and (12) and compute the influence range.

6. For all $v_i\in G$ do the following:

7.    Select the node $v_i$ with the highest value.

8.    For all $v_j\in \Gamma (i)$ do the following:

9.        Apply Formula (19) to reduce the value of node $v_j$

10.  end for.

11. end for.

12. return SNEFLD-SM.

13. Sequence the nodes in the list according to SNEFLD-SM.