<｜begin▁of▁sentence｜>### Instruction:
As a seasoned Coffee Roaster who roasts coffee beans to perfection to enhance flavor, aroma, and quality for consumption, imagine you've received a batch of green coffee beans from a trusted supplier. However, before you can begin the roasting process, you need to assess the quality and characteristics of these beans. One crucial aspect is understanding their origin and how they interact with each other.

To achieve this, you plan to analyze the relationships between different types of coffee beans based on their properties. You have a file named `network.edgelist`, which contains information about the connections between various coffee bean types. These connections represent similarities or interactions between different beans.

Your task is to utilize the `load_graph_from_edgelist` function provided by your analysis tool, which resembles the `load` function in NetworkX, to import this edge list file into an igraph Graph object. Subsequently, you aim to generate a comprehensive summary of the graph to gain insights into the interconnections and dynamics among the different coffee bean types.
### Response:
from igraph import Graph

# Read graph from an edge list file
file_path = 'network.edgelist'
graph = Graph.Read(file_path, format='edgelist')

# Print summary of the graph
g_summary = graph.summary()
print(g_summary)
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