<｜begin▁of▁sentence｜>### Instruction:
As a network analyst, you have been assigned to investigate a series of potential fraud cases in a financial institution. You are tasked with using the `maximum_cardinality_search` function in NetworkX to uncover the order of vertices visited and their corresponding alpha rankings in a graph that represents the relationships between certain bank accounts. The graph is defined by the edge set [(0, 1), (1, 2), (2, 3), (3, 4), (1, 3), (0, 2)] and the vertices are named ['A', 'B', 'C', 'D', 'E'] corresponding to specific bank accounts. Your findings will aid in identifying potentially suspicious accounts and their relationships.
### Response:
from igraph import Graph

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

# Conducts a maximum cardinality search on the graph
g.vs['name'] = ['A', 'B', 'C', 'D', 'E']
result = g.maximum_cardinality_search()
print('Vertex order:', [g.vs[vertex]['name'] for vertex in result])
print('Vertex rank alpha:', g.vs['alpha'])
<|EOT|>
