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Chronological Corpora Curve Clustering

Analyze the temporal evolution of concepts and semantic trajectories in scientific corpora through advanced statistical modeling and clustering.

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Powerful Tools for Temporal Corpus Analysis

📥 Data Import & Preprocessing

Import term-document matrices, clean data, and automatically classify terms into frequency zones for stratified analysis.

📊 Flexible Normalization

Multiple normalization methods (nc, nchi, nM, nmM, nnl) to account for corpus size variations and enable fair temporal comparisons.

📈 Temporal Modeling

Model term life-cycles using B-spline smoothing with cross-validated parameter selection for optimal trajectory estimation.

🧩 Trajectory Clustering

Cluster terms with similar temporal patterns to identify conceptual convergence, divergence, and knowledge dynamics.

🔍 Rich Visualization

Publication-ready plots including temporal curves, faceted visualizations, and zone-based comparisons with customizable themes.

⚙️ Statistical Rigor

Grounded in temporal scientometrics with GCV/OCV criteria for parameter selection and diagnostic validation tools.

 

© 2025 The cccc Team | Developed within the RIND Project