Category: Relational Analysis

Relational Analysis refers to computational techniques serving to discover specific relations between several objects of study. In textual studies, this could mean discovering overlap between several different texts (study of text reuse / plagiarism), or textual variations between several versions of one text (collation), or assessing the similarity of texts in terms of stylistic features (stylometry). By analogy, such methods can also be applied to other cultural artefacts, such as music, film or painting. Relevant techniques include Sequence Alignment, Collation, and techniques associated with Stylistic Analysis.

From Hermeneutics to Data to Networks: Data Extraction and Network Visualization of Historical Sources

Introduction: This lesson by Marten Düring from the “Programming Historian-Website” gently introduces novices to the topic to Network Visualisation of Historical Sources. As a case study it covers not only the general advantages of network visualisation for humanists but also a step-by-step explanation of the process from extraction of the data until the visualization (using the Palladio-tool). This lesson has also been translated into Spanish and includes many useful references for further reading.

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Towards a Computational Literary Science

Introduction: This article introduces a novel way to unfold and discover patterns in complex texts, at the intersection between macro and micro analytics. This technique is called TIC (Transcendental Information Cascades) allows analysis of how a cast of characters is generated and managed dynamically over the duration of a text.

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