Literature DB >> 17080787

MatrixExplorer: a dual-representation system to explore social networks.

Nathalie Henry1, Jean-Daniel Fekete.   

Abstract

MatrixExplorer is a network visualization system that uses two representations: node-link diagrams and matrices. Its design comes from a list of requirements formalized after several interviews and a participatory design session conducted with social science researchers. Although matrices are commonly used in social networks analysis, very few systems support the matrix-based representations to visualize and analyze networks. MatrixExplorer provides several novel features to support the exploration of social networks with a matrix-based representation, in addition to the standard interactive filtering and clustering functions. It provides tools to reorder (layout) matrices, to annotate and compare findings across different layouts and find consensus among several clusterings. MatrixExplorer also supports Node-link diagram views which are familiar to most users and remain a convenient way to publish or communicate exploration results. Matrix and node-link representations are kept synchronized at all stages of the exploration process.

Mesh:

Year:  2006        PMID: 17080787     DOI: 10.1109/TVCG.2006.160

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  5 in total

1.  RemBrain: Exploring Dynamic Biospatial Networks with Mosaic Matrices and Mirror Glyphs.

Authors:  Chihua Ma; Filippo Pellolio; Daniel A Llano; Kevin Ambrose Stebbings; Robert V Kenyon; G Elisabeta Marai
Journal:  J Imaging Sci Technol       Date:  2017-11       Impact factor: 0.400

2.  Visualizing Set Concordance with Permutation Matrices and Fan Diagrams.

Authors:  Bohyoung Kim; Bongshin Lee; Jinwook Seo
Journal:  Interact Comput       Date:  2007-12       Impact factor: 1.174

3.  MatrixFlow: temporal network visual analytics to track symptom evolution during disease progression.

Authors:  Adam Perer; Jimeng Sun
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

4.  A new graph drawing scheme for social network.

Authors:  Eric Ke Wang; Futai Zou
Journal:  ScientificWorldJournal       Date:  2014-07-16

5.  Data-driven visualization of multichannel EEG coherence networks based on community structure analysis.

Authors:  Chengtao Ji; Natasha M Maurits; Jos B T M Roerdink
Journal:  Appl Netw Sci       Date:  2018-09-26
  5 in total

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