<｜begin▁of▁sentence｜>### Instruction:
Given a GML file named 'network.gml' that contains a graph, can you lay out the graph using the graphopt algorithm - originally by Michael Schmuhl - that takes into account various parameters like node charge, mass, spring length, and constant for a number of iterations until an equilibrium is reached or a maximum number of iterations has been performed? The layout should then be visualized using igraph's plotting capability.
### Response:
from igraph import Graph
import igraph as ig

# Read a graph from a GML file
g = ig.read('network.gml')

# Set the parameters for the layout algorithm
niter = 300
node_charge = 0.001
node_mass = 30
spring_length = 0.05
spring_constant = 0.001
max_sa_movement = 5.0
seed = None

# Calculate the graphopt layout
layout = g.layout_graphopt(
    niter=niter,
    node_charge=node_charge,
    node_mass=node_mass,
    spring_length=spring_length,
    spring_constant=spring_constant,
    max_sa_movement=max_sa_movement,
    seed=seed
)

# Plot the graph
ig.plot(g, layout=layout, vertex_label=g.vs['label'])
<|EOT|>
