<｜begin▁of▁sentence｜>### Instruction:
Imagine we're developing a strategic marketing campaign for our brand's network and we've created a visual model representing the connections between key influencers. This model is represented by a path graph with 4 critical touchpoints, akin to nodes in our marketing network. To present our strategy effectively, we're looking to package this model into a compelling visual format that can be shared with the team.

We've decided on the GEXF format for this task, which allows us to integrate not just the structure but also the aesthetic details which enhance comprehension. One touchpoint, our leading influencer, requires special attention. We need to highlight their pivotal role in the network using visual cues—specifically, we want to customize the size, position, and color to make this node stand out.

How can we infuse the GEXF file with these additional visualization attributes to accurately reflect the significance of this premier touchpoint while maintaining the integrity of our brand's path graph? This attention to detail will ensure our campaign visualization is not only informative but also resonates with the visual identity of our brand. The name of the GEXF file should align with our branding guidelines and be memorably named for easy reference.
### Response:
import networkx as nx

# Create a graph
G = nx.path_graph(4)

# Add some visualization data to a node
G.nodes[0]['viz'] = {'size': 54}
G.nodes[0]['viz']['position'] = {'x': 0, 'y': 1}
G.nodes[0]['viz']['color'] = {'r': 0, 'g': 0, 'b': 256}

# Write the graph to a GEXF file
nx.write_gexf(G, 'path_to_file.gexf', encoding='utf-8', prettyprint=True, version='1.2draft')
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