<｜begin▁of▁sentence｜>### Instruction:
As a Social Media Influencer, imagine you're managing multiple social media accounts for different brands. You've been entrusted with analyzing the engagement levels across these platforms to provide insightful metrics. Utilizing a specialized tool called `eccentricity` provided by the analytics platform, you're tasked with calculating and presenting the eccentricities of all followers within the network of each brand's audience. To accomplish this, you need to retrieve the network data stored in 'your_graph.gml' for each brand and employ the `eccentricity` function to derive the eccentricity values of every follower, shedding light on their respective influence within the network.
### Response:
from igraph import Graph

# Load your graph (replace 'your_graph.gml' with the actual graph file)
g = Graph.Read_GML('your_graph.gml')

# Calculate the eccentricities of all vertices in the graph
eccentricities = g.eccentricity(vertices=None, mode='ALL', weights=None)

# Print the eccentricities
print(eccentricities)
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