How to avoid overlapping when there’s hundreds of nodes in networkx?

Question

You can use interactive graphs by plotly to plot such a large number of nodes and edges. You can change every attribute like canvas size etc and visualize it more easily by zooming other actions.
Example:

Import plotly

import plotly.graph_objects as go

import networkx as nx

Add edges as disconnected lines in a single trace and nodes as a scatter trace

G = nx.random_geometric_graph(200, 0.125)
edge_x = []
edge_y = []
for edge in G.edges():
    x0, y0 = G.nodes[edge[0]]['pos']
    x1, y1 = G.nodes[edge[1]]['pos']
    edge_x.append(x0)
    edge_x.append(x1)
    edge_x.append(None)
    edge_y.append(y0)
    edge_y.append(y1)
    edge_y.append(None)

edge_trace = go.Scatter(
    x=edge_x, y=edge_y,
    line=dict(width=0.5, color="#888"),
    hoverinfo='none',
    mode="lines")

node_x = []
node_y = []
for node in G.nodes():
    x, y = G.nodes[node]['pos']
    node_x.append(x)
    node_y.append(y)

node_trace = go.Scatter(
    x=node_x, y=node_y,
    mode="markers",
    hoverinfo='text',
    marker=dict(
        showscale=True,
        # colorscale options
        #'Greys' | 'YlGnBu' | 'Greens' | 'YlOrRd' | 'Bluered' | 'RdBu' |
        #'Reds' | 'Blues' | 'Picnic' | 'Rainbow' | 'Portland' | 'Jet' |
        #'Hot' | 'Blackbody' | 'Earth' | 'Electric' | 'Viridis' |
        colorscale="YlGnBu",
        reversescale=True,
        color=[],
        size=10,
        colorbar=dict(
            thickness=15,
            title="Node Connections",
            xanchor="left",
            titleside="right"
        ),
        line_width=2))

Color node points by the number of connections.

Another option would be to size points by the number of connections i.e. node_trace.marker.size = node_adjacencies

node_adjacencies = []
node_text = []
for node, adjacencies in enumerate(G.adjacency()):
    node_adjacencies.append(len(adjacencies[1]))
    node_text.append('# of connections: '+str(len(adjacencies[1])))

node_trace.marker.color = node_adjacencies
node_trace.text = node_text

Create network graph

fig = go.Figure(data=[edge_trace, node_trace],
             layout=go.Layout(
                title="<br>Network graph made with Python",
                titlefont_size=16,
                showlegend=False,
                hovermode="closest",
                margin=dict(b=20,l=5,r=5,t=40),
                annotations=[ dict(
                    text="Python code: <a href="https://plotly.com/ipython-notebooks/network-graphs/"> https://plotly.com/ipython-notebooks/network-graphs/</a>",
                    showarrow=False,
                    xref="paper", yref="paper",
                    x=0.005, y=-0.002 ) ],
                xaxis=dict(showgrid=False, zeroline=False, showticklabels=False),
                yaxis=dict(showgrid=False, zeroline=False, showticklabels=False))
                )
fig.show()

You can get more details about plotly on internet
See docs: https://plotly.com/python/network-graphs/

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