scispace - formally typeset
B

Benoît Otjacques

Researcher at University of Lorraine

Publications -  76
Citations -  705

Benoît Otjacques is an academic researcher from University of Lorraine. The author has contributed to research in topics: Visualization & Information visualization. The author has an hindex of 11, co-authored 76 publications receiving 594 citations.

Papers
More filters
Journal ArticleDOI

Interoperability of E-Government Information Systems: Issues of Identification and Data Sharing

TL;DR: The results of an exploratory study in the government sector, focusing on the way public organizations manage identity-related data and the sharing of such data, either with other public agencies or with private organizations, draw conclusions about identity management in cross-border contexts.
Journal ArticleDOI

MINERVA-a platform for visualization and curation of molecular interaction networks.

TL;DR: The MINERVA (Molecular Interaction NEtwoRks VisuAlization) platform is developed, a standalone webservice supporting curation, annotation and visualization of molecular interaction networks in Systems Biology Graphical Notation (SBGN)-compliant format that improves the efficiency of curation of networks.
Journal ArticleDOI

The State of the Art in Multilayer Network Visualization

TL;DR: In this article, the authors provide a state-of-the-art and a structured analysis of contemporary multilayer network visualization, not only for researchers in visualization, but also for those who aim to visualize multi-layer networks in the domain of complex systems, as well as those developing systems across application domains.
Journal ArticleDOI

Community extraction and visualization in social networks applied to Twitter

TL;DR: The proposed approach for social media analysis, especially for Twitter’s network, relies on a community identification based on a new community detection algorithm called Tribase and an interactive community visualization, which provides gradual knowledge acquisition using the authors' visualization tool, called NLCOMS.
Journal ArticleDOI

Cluster Sculptor, an interactive visual clustering system

TL;DR: Cluster Sculptor is a novel interactive clustering system that allows a user to iteratively update the cluster labels of a data set, and an associated low-dimensional projection, and uses a two-dimensional (2D) projection, both as support for overlaying the clusters, and engaging user interaction.