Exploring, Browsing and Interacting with Multi-Scale Structures of Knowledge

EasyChair Preprint no. 5412

Abstract

The ICT revolution has given birth to a world of digital traces. A wide number of knowledge-driven 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 presentation, 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 multi-level 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.

Keyphrases: co-word analysis, knowledge visualization, multi-scale structure, phylomemy reconstruction, science map

@Booklet{EasyChair:5412,
  author = {Quentin Lobbé and David Chavalarias and Alexandre Delanoë},
  title = {Exploring, Browsing and Interacting with Multi-Scale Structures of Knowledge},
  howpublished = {EasyChair Preprint no. 5412},

  year = {EasyChair, 2021}}