MLKN.lab · MultiLayer Knowledge Network Ideas Laboratory

MLKN.lab

Interactive Gephi-style knowledge network maps exploring the conceptual architecture of 12 academic disciplines — and the bridges between them.

12
Disciplines
900+
Concepts
1,400+
Connections
3
Epistemic Layers

Three Analytical Layers

Academic standards · Epistemic categories · Analysis levels

Disciplines

11 academic fields mapped as distinct clusters, with intra-disciplinary concept networks and inter-disciplinary bridges highlighted by strength (major / minor).

Epistemic Roles

Concepts are classified by their epistemic function: Foundational, Theoretical, Methodological, Empirical, Applied, or Normative — following academic taxonomy standards.

Levels of Analysis

Concepts are located across four scales of analysis: Molecular / Neural, Individual, Social / Cultural, and System / Global — based on scientific and social-science standards.

All Knowledge Networks

12 interactive Gephi-style concept maps

About MLKN.lab

MLKN.lab (MultiLayer Knowledge Network Ideas Laboratory) is an open-source project exploring the conceptual architecture of academic disciplines through interactive force-directed network graphs inspired by the Gephi software methodology.

Each map represents concepts as nodes (sized by centrality) and connections as weighted edges. Disciplines are organized into thematic clusters, and the interdisciplinary map reveals structural bridges between fields using academic taxonomy standards.

LinkedIn — François Papin GitHub Pages