Visualization

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Last edited Jan 29, 2018

Created on Jan 29, 2018

This visualization plots the Davies-Bouldin index against the number of clusters for a k-means analysis of philosophy papers, revealing how clustering quality varies with cluster count. The code uses d3.v3 with SVG circles positioned via linear scales, reading data from a CSV file that tracks citation patterns across analytical and continental philosophy journals. A d3.tip tooltip displays exact values on hover, while d3.behavior.zoom enables interactive panning and zooming of the scatterplot. The animation and transitions are handled through d3's built-in transition methods.

AI-generated description

Method

The 500 most cited or all accessible papers from the following journals where downloaded, and there citation records accessed:

analytical journals:

Mind
Analysis
Philosophical Quarterly
Ethics

continental journals:

Continental Philosophy Review
Journal of Speculative Philosophy
Constellations
Journal of the British Society for Phenomenology

The citation data was stripped to the cited authors. The resulting documents where tokenized - divided into single words. Then it was determined for every paper if it contained any of the found names.

Paper Nr.	Heidegger	Ryle	...
1	1	0	...
2	1	0	...
3	0	1	...

These resulting examples where clustered with a K-means-Algorithm. The Davies-Bouldin-Indexes for this Clustering are shown above. A low index indicates good clustering, which means that the clusters have high internal consistency and are very different to each other So we can say that the hypothesis of two clusters (eg. analytic and continental philosophy) seems not particulary merited (DB = 8.6), expecially when compared to 7 clusters, which yields a DB of 6.92.

forked from <a href='http://bl.ocks.org/MNoichl/'>MNoichl</a>'s block: <a href='http://bl.ocks.org/MNoichl/a92c39fd156938ba32bb08b3643c020d'>DB-Indexes for selected paper-clusters</a>

forked from <a href='http://bl.ocks.org/MNoichl/'>MNoichl</a>'s block: <a href='http://bl.ocks.org/MNoichl/1178dd29c8fd77252532e1a719e86890'>DB-Indexes for selected paper-clusters</a>

mit Licensed

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