<｜begin▁of▁sentence｜>### Instruction:
Given an undirected graph with vertices and weighted edges, can you use the `similarity_inverse_log_weighted` function in igraph to calculate the inverse log-weighted similarity coefficient of vertices?
### Response:
import igraph as ig

# Create a graph with weighted edges
g = ig.Graph(edges=[(0, 1), (1, 2), (2, 3)], directed=False)

# Add edge weights
g.es['weight'] = [1, 2, 3]

# Calculate the inverse log-weighted similarity
g.similarity_inverse_log_weighted()
<|EOT|>
