This interactive network visualization displays the collaboration structure of a scientific co-authorship dataset (netscience.gml), rendered in Plotly. The graph, originally created by Mark Newman, is laid out using a force-directed algorithm computed via Python and displayed with Plotly's interactive 3D scatter plot. Nodes are positioned in 3D space based on their network connectivity, and hovering over a node reveals its label—typically the surname of a researcher. The visualization uses color and size to encode node properties, making it possible to explore clusters and relationships among the authors in the network. The example is drawn from a gist by VioletVivirand and demonstrates how to import graph data from GML format and visualize it interactively with Plotly.