Advanced Analysis of Relationships Between Hadith Narrators in Sahih al-Bukhari
This article presents a compact overview of a computational study on chains of transmission in Sahih al-Bukhari. Its aim is to show how contemporary data-mining methods can help reveal sequential patterns among narrators without displacing the classical scholarly concern for isnad analysis.
The study described in the article separates chains from matn material, normalizes narrator names, restructures the data into sequential transactions, and then applies a sequential-pattern-discovery algorithm based on equivalence classes. In this way, it extracts recurring transmission patterns and formulates rules with support, confidence, and lift measures.
Among the reported outcomes are numerous recurrent narrator relationships and thematic links that appear through the chains. The article presents this as a methodological aid that can illuminate transmission structures and open a new technical window onto hadith networks.
Its broader contribution is exploratory: it argues that digital analysis can serve the science of hadith by offering new tools for visualization, comparison, and research support while remaining anchored to the traditional importance of the isnad.
Original publication
Originally published on Alukah Network
This is an English version of an article first published in Arabic on Alukah Network.