Description:

This theme concentrates on the chain of transmission as a central component of Hadith scholarship. It covers identification and disambiguation of narrators, ṭabaqāt, narrator biographies, teacher–student relationships, continuity and discontinuity of chains, rijāl al-ḥadīth, jarḥ wa taʿdīl, narrator reliability, multiple-isnād comparison and transmission-network reconstruction. The theme bridges classical Hadith scholarship with contemporary computational approaches including Named Entity Recognition (NER), entity linking, sequential-pattern mining, social-network analysis, graph databases, machine learning and knowledge graphs. This integration is particularly relevant because modern research has demonstrated automated narrator detection and biography linking in Classical Arabic, while Hadith-specific datasets now provide large structured collections of narrator chains for computational investigation.