This visualization maps the advisor-advisee network of Japanese Literary Studies as a temporal genealogy tree. Each node represents a scholar, positioned vertically by their PhD year (or earliest year in the dataset). Edges connect advisors (above) to their advisees (below).
Generations:
Conference badges: Five colored dots below each node indicate participation at AJLS, AAS, MLA, ACLA, and SCMS conferences.
Data: 2,181 advisor-advisee edges from the literature-filtered dissertation network (modern + premodern Japanese literary studies). Edges sourced from ProQuest, Academic Family Tree, and web research.
Layout: Top-to-bottom temporal tree. Y-axis = PhD year. X-axis distributes lineages proportional to subtree size. Connected components rendered independently.
Topic classification: 20 topic clusters assigned via keyword matching against dissertation titles and abstracts. Advisors inherit topic profiles from their advisees' dissertations.
Conference data: Participation counts from AJLS (1999–2025), AAS (1995–2025), MLA (1968–2026), ACLA (1992–2026), SCMS (2008–2026).