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Communication Dans Un Congrès Année : 2017

eDOI: Exploratory Degree of Interest Exploration of Multilayer Networks Based on User Interest

Antoine Laumond
Bruno Pinaud

Résumé

The " zoom and filter " operations dear to the Shneiderman mantra are in reality not well specified in a data exploration context. There is a need to support users and suggest potential directions for exploration , and automatically selects a subset of nodes of interest based on a minimum initial user input. Filtering the data additionally avoids visual cluttering, especially overplotting, often resulting from laying out large networks. This paper explores how the multilayer properties of networks can be used to design a DOI (Degree of Interest) approach. Layers in a multilayer network bring nuances and must not be considered on an equal basis. We propose a method for extracting, expanding and displaying a sequence of sub-networks to guide users when exploring a multilayer network. Nodes and edges are selected based on an interest score computed for each node specifically taking the layer structure into account.
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Dates et versions

hal-01675682 , version 1 (04-01-2018)

Identifiants

  • HAL Id : hal-01675682 , version 1

Citer

Antoine Laumond, Guy Melançon, Bruno Pinaud. eDOI: Exploratory Degree of Interest Exploration of Multilayer Networks Based on User Interest. VIS 2017, Poster session, Oct 2017, Phoenix, United States. ⟨hal-01675682⟩
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