Local Space-Time Smoothing for Version Controlled Documents

TL;DR

This paper introduces a local space-time smoothing technique to effectively model and visualize revision patterns in collaborative, version-controlled documents, addressing limitations of traditional static document analysis.

Contribution

It presents a novel local space-time smoothing framework specifically designed for analyzing and visualizing collaborative document revisions.

Findings

Effective capture of revision patterns in synthetic data

Successful application to real-world collaborative documents

Improved visualization of document evolution over time

Abstract

Unlike static documents, version controlled documents are continuously edited by one or more authors. Such collaborative revision process makes traditional modeling and visualization techniques inappropriate. In this paper we propose a new representation based on local space-time smoothing that captures important revision patterns. We demonstrate the applicability of our framework using experiments on synthetic and real-world data.