  The ICT revolution has given birth to a world of digital traces. A wide
number of knowledgedriven domains like science are daily fueled by unlimited
flows of textual contents. In order to navigate across these growing
constellations of words, interdisciplinary innovations are emerging at the
crossroad between social and computational sciences. In particular, complex
systems approaches make it now possible to reconstruct multi-level and
multi-scale structures of knowledge by means of phylomemies: inheritance
networks of elements of knowledge. In this article, we will introduce an
endogenous way to visualize the outcomes of the phylomemy reconstruction
process by combining both synchronic and diachronic approaches. Our aim is to
translate high-dimensional phylomemetic networks into graphical projections and
interactive visualizations. To that end, we will use seabed and kinship views
to translate the multilevel and multi-scale properties of complex branches of
knowledge. We will then define a generic macro-to-micro methodology of
exploration implemented within an open source software called Memiescape and
validate our approach by browsing through the reconstructed histories of
thousands of scientific publications and clinical trials.
