<｜begin▁of▁sentence｜>### Instruction:
As a forensic scientist working on a criminal investigation, you have gathered physical evidence from a crime scene, including a network diagram showing the connections between individuals involved. To visually represent the strength of the connections, you want to utilize the AlphaVaryingEdgeDrawer, which inherits from AbstractCairoEdgeDrawer, to draw directed edges with varying transparency on a plot. This would help in analyzing the significance of the relationships between the individuals and potentially reveal any patterns or connections that may be crucial to the investigation.
### Response:
from igraph import Graph
from igraph.drawing import Plot
from igraph.drawing.edge import AlphaVaryingEdgeDrawer

# Create a simple graph
g = Graph.Erdos_Renyi(n=5, m=10)

# Define a visual style for the graph
visual_style = {
    'vertex_color': 'light blue',
    'vertex_size': 20,
    'edge_curved': False,
    'edge_width': 1.5
}

# Create a plot with an alpha varying edge drawer
plot = Plot(backend='cairo', bbox=(300, 300), background='white')
plot.add(g, **visual_style)
edge_drawer = AlphaVaryingEdgeDrawer(plot.backend.ctx, palette=plot.palette)

# Drawing edges using the custom edge drawer
for edge in g.es:
    edge_drawer.draw_directed_edge(edge, g.vs[edge.source], g.vs[edge.target])

plot.show()
<|EOT|>
