<｜begin▁of▁sentence｜>### Instruction:
Imagine we're in the midst of an intricate study of digital social structures within various online communities. We've gathered a trove of data encapsulated within a GEXF file named 'path_to_gexf_file.gexf'. This file is akin to a detailed map, charting the manifold interactions and connections among community members, represented as nodes and edges within this digital social landscape.

Our task is to transfer this map into NetworkX, our analytical tool of choice, to further examine and understand the complex web of relationships. However, it's crucial that in this process, we retain the native numerical identifiers assigned to each community member (node) within our digital map. These identifiers are not merely arbitrary numbers; they are integral to our understanding and tracking of community dynamics.

Therefore, how might we go about importing our GEXF map into NetworkX in such a manner that these numerical identifiers of nodes are preserved in their original integer form? It's essential that this translation is done without any alteration to the node IDs, as relabeling could compromise the integrity of our analysis and subsequent anthropological insights.
### Response:
import networkx as nx

# Read graph from a GEXF file
G = nx.read_gexf('path_to_gexf_file.gexf', node_type=int, relabel=False)

# Print node and edge information
print('Nodes:', list(G.nodes))
print('Edges:', list(G.edges))
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