<｜begin▁of▁sentence｜>### Instruction:
As a biologist, you are conducting a study on a network of species interactions within an ecosystem. You have used a community detection algorithm, such as networkx's `community.greedy_modularity_communities`, to identify clusters of species that interact more frequently with each other. Now, you want to determine the size of the first cluster within the network to understand the prevalence and impact of these interactions on the ecosystem.
### Response:
from igraph import Graph
from igraph.clustering import VertexClustering

# Creating a graph
edges = [(0, 1), (1, 2), (2, 3), (3, 4), (4, 0), (0, 2)]
g = Graph(edges=edges)

# Performing a community detection algorithm to get the clusters
clusters = g.community_edge_betweenness()
vertex_clustering = VertexClustering(g, clusters.membership)

# Get the size of the first cluster
first_cluster_size = vertex_clustering.size(0)

print('Size of the first cluster:', first_cluster_size)
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