Speaker: Dr. Benjamin Renoust (Postdoc JSPS – NII & JFLI)
Date: March 4th, 2015
Place: room 007, Faculty of Science Bldg. 7, Hongo Campus, The University of Tokyo
When it comes to comprehension of complex phenomena, human need to understand what interactions lie within them. These interactions are often captured with complex networks. However, the interaction pluralism is often shallowed by traditional network models. We propose a new way to look at these phenomena through the lens of multiplex networks, in which catalysts are drivers of the interaction through substrates.
To study the entanglement of a multiplex network is to study how edges intertwine, in other words, how catalysts interact. Our entanglement analysis results in a full set of new objects which completes traditional network approaches: the entanglement homogeneity and intensity of the multiplex network, and the catalyst interaction network, with for each catalyst, an entanglement index.
These objects are very suitable for embedment in a visual analytics framework, to enable comprehension of a complex structure. We thus propose a visual setting with coordinated multiple views. We take advantage of mental mapping and visual linking to present simultaneous information of a multiplex network at three different levels of abstraction. We complete brushing and linking with a leapfrog interaction that mimics the back-and-forth process involved in users’ comprehension.
The method is validated and enriched through multiple applications including assessing group cohesion in document collections, and identification of particular associations in social networks.