<｜begin▁of▁sentence｜>### Instruction:
As a Performance Artist working on an avant-garde interactive art project involving interconnected nodes, imagine you have a network of artistic collaborators represented by a graph with edges and weights denoting their creative connections and influences. For your project, the network consists of nodes representing artists and edges indicating the strength of their collaborations. Given the edge set [(0, 1), (1, 2), (2, 3), (3, 0), (1, 3)] with corresponding edge weights [1, 0.5, 2, 1.5, 0.8], you want to analyze the average local transitivity of this artistic network. 

Utilizing the transitivity_avglocal_undirected function in the igraph API, the task is to calculate the average local transitivity, accounting for vertices with a degree less than two as having zero transitivity. This analysis will provide insights into the clustering and interconnectedness of your collaborators within the artistic network, guiding you in understanding the cohesive creative flow within your avant-garde project.
### Response:
import igraph as ig

# Create an undirected graph with edges and weights
g = ig.Graph(edges=[(0, 1), (1, 2), (2, 3), (3, 0), (1, 3)], directed=False)
g.es['weight'] = [1, 0.5, 2, 1.5, 0.8]

# Calculate the average local transitivity considering vertices with degree less than two as having zero transitivity
avg_local_trans = g.transitivity_avglocal_undirected(mode='zero', weights='weight')

# Print the result
print('Average local transitivity:', avg_local_trans)
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