Interactive Network Visualization

Networks are used to model a wide range of phenomena, from computer networks to similarities between genes, brain activity, and social interactions between individuals (social networks) or organizations. Yet, making sense of these complex networks requires more than modeling and statistics. Network visualization has progressed dramatically in recent years and provides novel and effective ways to make sense of complex networks through effective visual encodings and interactions. With the advent of novel display technologies and interaction techniques, network visualization has potentials to become even more effective.

Many scientific domains are thus now convinced that network visualization is essential to improve their work since it allows them to see complex structures that statistics and modeling alone cannot reveal. From the perspective of network visualization, there are lots of commonalities in the wide range of issues raised by the different scientific domains, as well as some very specific issues too.

In the recent years, The Microsoft Research Redmond VIBEVis working group and INRIA AVIZ project team have shown that their techniques were extremely effective to visualize social networks as well as brain connectivity data.

Social networks have become popular in recent years with platforms such as Facebook and LinkedIn, but they are also used to study collaboration between people and organizations. VIBEVis and AVIZ have developed a wide arsenal of techniques to facilitate the exploration of such data, to support its understanding, and to enable the presentation to a large audience for decision making or communication purposes.

Brain connectivity visualization is an enabling tool for understanding how the brain works in the long range, but is also important in the short term to convey important information to neuroscientists and brain surgeon about interactions in the brain related to studies or surgery.

In this project VIBEVis and AVIZ want to further explore the generic issues raised by network visualization and the more specific ones for the domains of social network visualization and brain connectivity visualization as two major application domains for this field of work.

The main scientific challenges are:

  1. Temporal/dynamic networks,
  2. Multivariate networks,
  3. Relating spatial-3D or 2D information with networks (e.g. brain vis,
    migration maps),) navigation and interaction in clustered graphs,
  4. Scalability.

Find more information on our project website: www.visualizingbrainconnectivity.org

  • Jean-Daniel Fekete
    Jean-Daniel Fekete is a French computer scientist working in the field of Information Visualization and Human-Computer Interaction. ...

    Former members:
    • Benjamin Bach Microsoft Research-Inria Joint Centre (Post Doctoral Student)
    • Jean-Daniel Fekete Inria Saclay - Île-de-France
    • Nathalie Henry-Riche Microsoft Research Redmond

    2017

    Article dans une revue

    titre
    Magnostics: Image-based Search of Interesting Matrix Views for Guided Network Exploration
    auteur
    Michael Behrisch, Benjamin Bach, Michael Hund, Michael Delz, Laura von Rüden, Jean-Daniel Fekete, Tobias Schreck
    article
    IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2017, pp.1. ⟨10.1109/TVCG.2016.2598467⟩
    Accès au texte intégral et bibtex
    https://hal.inria.fr/hal-01377861/file/Magnostics.pdf BibTex

    2016

    Article dans une revue

    titre
    Matrix Reordering Methods for Table and Network Visualization
    auteur
    Michael Behrisch, Benjamin Bach, Nathalie Henry Riche, Tobias Schreck, Jean-Daniel Fekete
    article
    Computer Graphics Forum, Wiley, 2016, 35, pp.24. ⟨10.1111/cgf.12935⟩
    Accès au texte intégral et bibtex
    https://hal.inria.fr/hal-01326759/file/MatrixReorderingSTAR.pdf BibTex
    titre
    Time Curves: Folding Time to Visualize Patterns of Temporal Evolution in Data
    auteur
    Benjamin Bach, Conglei Shi, Nicolas Heulot, Tara Madhyastha, Tom Grabowski, Pierre Dragicevic
    article
    IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2016, 22 (1), ⟨10.1109/TVCG.2015.2467851⟩
    Accès au texte intégral et bibtex
    https://hal.inria.fr/hal-01205821/file/main.pdf BibTex

    Communication dans un congrès

    titre
    Telling Stories about Dynamic Networks with Graph Comics
    auteur
    Benjamin Bach, Natalie Kerracher, Kyle Wm. Hall, Sheelagh Carpendale, Jessie Kennedy, Nathalie Henry Riche
    article
    Proceedings of the Conference on Human Factors in Information Systems (CHI), ACM, New York, United States, May 2016, New York, United States. ⟨10.1145/2858036.2858387⟩
    Accès au texte intégral et bibtex
    https://hal.inria.fr/hal-01256099/file/Bach2016graphcomics.pdf BibTex

    2015

    Article dans une revue

    titre
    Small MultiPiles: Piling Time to Explore Temporal Patterns in Dynamic Networks
    auteur
    Benjamin Bach, Nathalie Henry-Riche, Tim Dwyer, Tara Madhyastha, Jean-Daniel Fekete, Thomas Grabowski
    article
    Computer Graphics Forum, Wiley, 2015, ⟨10.1111/cgf.12615⟩
    Accès au texte intégral et bibtex
    https://hal.inria.fr/hal-01158987/file/main.pdf BibTex

    Poster

    titre
    NetworkCube: Bringing Dynamic Network Visualizations to Domain Scientists
    auteur
    Benjamin Bach, Nathalie Henry Riche, Roland Fernandez, Emmanoulis Giannisakis, Bongshin Lee, Jean-Daniel Fekete
    article
    Posters of the Conference on Information Visualization (InfoVis), Oct 2015, Chicago, United States. 2015
    Accès au texte intégral et bibtex
    https://hal.inria.fr/hal-01205822/file/template.pdf https://hal.inria.fr/hal-01205822/file/poster-connectoscope.pdf BibTex

    2010

    Communication dans un congrès

    titre
    Using Text Animated Transitions to Support Navigation in Document Histories
    auteur
    Fanny Chevalier, Pierre Dragicevic, Anastasia Bezerianos, Jean-Daniel Fekete
    article
    International Conference on Human Factors in Computing Systems, ACM, Apr 2010, Atlanta, GA, United States. pp.683-692, ⟨10.1145/1753326.1753427⟩
    Accès au texte intégral et bibtex
    https://hal.inria.fr/hal-00690289/file/diffamation-CHI2010.pdf BibTex
    titre
    iChase: Supporting Exploration and Awareness of Editing Activities on Wikipedia
    auteur
    Nathalie Henry Riche, Bongshin Lee, Fanny Chevalier
    article
    Proceedings of AVI 2010, ACM, May 2010, Roma, Italy. pp.59-66, ⟨10.1145/1842993.1843004⟩
    Accès au texte intégral et bibtex
    https://hal.inria.fr/hal-00702011/file/ichase_avi2010.pdf BibTex

    2009

    Communication dans un congrès

    titre
    Topology-Aware Navigation in Large Networks
    auteur
    Tomer Moscovich, Fanny Chevalier, Nathalie Henry, Emmanuel Pietriga, Jean-Daniel Fekete
    article
    SIGCHI conference on Human Factors in computing systems, ACM, Apr 2009, Boston, United States. pp.2319–2328, ⟨10.1145/1518701.1519056⟩
    Accès au texte intégral et bibtex
    https://hal.inria.fr/inria-00373679/file/chi2009_toponav.pdf BibTex