<｜begin▁of▁sentence｜>### Instruction:
As a bookkeeper, you've been tasked with organizing financial records for a company's social events. Each event is represented as a node in a network graph, with attendees as vertices. You have a list of attendees' names. How would you update the hierarchical breakdown of event communities in the graph to reflect the attendees' names, ensuring accurate tracking and analysis of social connections?
### Response:
from igraph import Graph
from igraph.clustering import VertexDendrogram

# Assuming we have an iGraph graph object
graph = Graph.Famous('Zachary')

# Compute the dendrogram using a community detection algorithm
community = graph.community_fastgreedy()
dendrogram = VertexDendrogram(graph, community)

# Set the names of the nodes in the dendrogram
dendrogram.names = ['John', 'Amanda', 'Roger', 'Sarah', 'Mike', 'Anna', 'James', 'Laura', 'Robert', 'Linda']
print(dendrogram.names)
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