<｜begin▁of▁sentence｜>### Instruction:
As an educational psychologist specializing in technology integration in education, let's consider a scenario where you're using a network visualization tool to illustrate connections between concepts in a curriculum. You've generated a graph where each concept is represented as a node with assigned positions, mimicking their importance or hierarchy in the syllabus.

Now, imagine you want to enhance the clarity of your visualization by adjusting the layout. Specifically, you aim to relocate the center of the bounding box of the graph to a specified X coordinate, ensuring a more focused presentation of key concepts during a lecture.

To accomplish this, you'll utilize the NetworkX library, a powerful tool for analyzing and visualizing complex networks. Within the library's functionality, you'll explore methods for manipulating graph layouts, aiming to achieve your instructional objectives while maintaining the integrity of the underlying educational content.
### Response:
import networkx as nx

# Create a simple graph with positions for each node
g = nx.Graph()
g.add_nodes_from([1, 2, 3])
positions = {1: (0, 0), 2: (1, 1), 3: (2, 0)}
nx.set_node_attributes(g, positions, 'pos')

# Compute the bounding box of the positions
pos_values = positions.values()
minx = min(p[0] for p in pos_values)
maxx = max(p[0] for p in pos_values)
midx = (minx + maxx) / 2  # Middle x-coordinate

# Function to move the center of the bounding box to an x-coordinate
def move_bbox_center_x(new_midx):
    dx = new_midx - midx
    for node, pos in positions.items():
        positions[node] = (pos[0] + dx, pos[1])
    return positions

# Move the bounding box center to x=1.5
updated_positions = move_bbox_center_x(1.5)

print(updated_positions)
<|EOT|>
