Once you've generated or imported a Network Graph, Explainable AI (XAI) analyzes relationships that define each segment within a network and provides you with succinct descriptions of these insights.
XAI can help you better understand your Network Graph segments and promote further exploration. This additional context is critical to drive insights from network analysis.
Running Explainable AI on a Network Graph
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Click the XAI icon ( ) in the left-side toolbar to open the XAI panel.
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Under Add Target, select the XAI method you would like to use:
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Relative Edge Density (default) - This method will attempt to determine which characteristics are most descriptive for each segment. The descriptions in each result card may be interpreted as saying that if a node falls into Segment N, then it likely has certain values for the input features.
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Identification Tree - This method will attempt to determine which characteristics are most specific to each segment. The descriptions in each result card may be interpreted as saying that if a node has certain values for the input features, then it likely falls into Segment N.
- Komolgorov-Smirnov Test - The Kolmogorov–Smirnov test determines whether a segment has a statistically significantly different distribution for each numerical feature provided as input.
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Select Segments in the target drop-down.
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Add other features by choosing them from the Select Features drop-down or using the Input All button.
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Click Run at the bottom of the panel.
The panel will populate with cards that describe the segments. Click the cards to explore which segments contain certain relationships.
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