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…teps Adds TimelineMetricsRecorder for recording per-step network metrics (node/edge counts, density, degree stats, category breakdowns, new/lost nodes and edges, connected components) and analyzing trends. Features: - Per-step snapshot recording with automatic delta tracking - CSV export (file or string) with proper escaping - Trend analysis: peaks, averages, std deviations - Phase transition detection (growth spikes, contractions, density shifts) - Category-level trend summaries (min/max/avg per relationship type) - Configurable phase threshold - 30 JUnit tests Usage: call recordStep() at each timeline position, then exportCsv() or analyzeTrends() to get quantitative community evolution data.
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Adds TimelineMetricsRecorder for recording per-step network metrics and analyzing community evolution trends.
What it does
Records graph statistics at each timeline step and provides:
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