Johannes Fuchs

University of Konstanz

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Daniel A. Keim

University of Konstanz

Ljudmilla Borisjuk

Leibniz Institute of Plant Genetics and Crop Plant Research

Dominik Jäckle

BMW Group (Germany)

Fabian Fischer

University of Applied Arts Vienna

Hardy Rolletschek

Leibniz Institute of Plant Genetics and Crop Plant Research

Florian Mansmann

University of Konstanz

Michael Blumenschein

University of Konstanz

Matthias Kraus

BMW Group (Germany)

Tobias Schreck

Graz University of Technology

Peter M. Jakob

Ordensklinikum Linz Barmherzige Schwestern

Cooperative Institutions

University of Konstanz

Leibniz Institute of Plant Genetics and Crop Plant Research

Leibniz Institute for Neurobiology

University of Würzburg

Leibniz Association

Goethe University Frankfurt

Graz University of Technology

University of Duisburg-Essen

University of Stuttgart

Heidelberg University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Cameron S.G. Jefferies: Marine Mammal Conservation and the Law of the Sea (Oxford: oup 2016), xii + 401 pages

Max Planck Yearbook of United Nations Law (2017)

Johannes Fuchs

Marine mammal

10.1163/13894633_02001018

Cite

Citations (0)

Exploring the Design Space of BioFabric Visualization for Multivariate Network Analysis

Computer Graphics Forum (2024)

Johannes Fuchs Frederik L. Dennig Maria-Viktoria Heinle Daniel A. Keim Sara Di Bartolomeo

Abstract The visual analysis of multivariate network data is a common yet difficult task in many domains. The major challenge is to visualize the network's topology and additional attributes for entities and their connections. Although node‐link diagrams and adjacency matrices are widespread, they have inherent limitations. Node‐link diagrams struggle to scale effectively, while adjacency matrices can fail to represent network topologies clearly. In this paper, we delve into the design space of BioFabric, which aligns entities along rows and relationships along columns, providing a way to encapsulate multiple attributes for both. We explore how we can leverage the unique opportunities offered by BioFabric's design space to visualize multivariate network data — focusing on three main categories: juxtaposed visualizations, embedded on‐node and on‐edge encoding, and transformed node and edge encoding. We complement our exploration with a quantitative assessment comparing BioFabric to adjacency matrices. We postulate that the expansive design possibilities introduced in BioFabric network visualization have the potential for the visualization of multivariate data, and we advocate for further evaluation of the associated design space. Our supplemental material is available on osf.io.

Interactive visual analysis

10.1111/cgf.15079

Cite

Citations (1)

Monitoring large IP spaces with ClockView

Christopher Kintzel Johannes Fuchs Florian Mansmann

The growing amounts of hosts that are placed into the networks represent an enormous challenge to most network administrators who have to monitor these hosts conscientiously. While automatically monitoring the network for slow or failing components has become common practice, defining an acceptable state of the system is only possible to a very limited extent and thus exploratory analysis tasks by real human analysts complement the analysis process. However, this is a problem of scale since it is infeasible to manually inspect thousands of hosts without proper visual support for the tasks of gaining an overview, focusing and retrieving details on demand. In this paper we present a design study to enable visual support for monitoring large IP spaces. In particular, the presented system features 1) a scalable glyph representation in the style of a clock for giving an overview of the activity over time of thousands of hosts in the network, 2) subnet and port views for focusing the analysis to a particular subset of the data and 3) detailed pixel matrix visualizations for interpreting concrete traffic patterns. Furthermore, the tool's feedback loop, which is implemented through interaction capabilities, allows for retrieving new details, refocusing and enhancing of the overview.

Subnet

Glyph (data visualization)

Complement

Representation

10.1145/2016904.2016906

Cite

Citations (49)

A Visual Analytics Field Experiment to Evaluate Alternative Visualizations for Cyber Security Applications

Eurographics (2014)

Fabian Fischer J. G. Davey Johannes Fuchs Olivier Thonnard Jörn Kohlhammer

The analysis and exploration of emerging threats in the Internet is important to better understand the behaviour of attackers and develop new methods to enhance cyber security. Fully automated algorithms alone are often not capable of providing actionable insights about the threat landscape. We therefore combine a multi-criteria clustering algorithm, tailor-made for the identification of such attack campaigns with three interactive visualizations, namely treemap representations, interactive node-link diagrams, and chord diagrams, to allow the analysts to visually explore and make sense of the resulting multi-dimensional clusters. To demonstrate the potential of the system, we share our lessons learned in conducting a field experiment with experts in a security response team and show how it helped them to gain new insights into various threat landscapes.

Chord (peer-to-peer)

Identification

10.2312/eurova.20141144

Cite

Citations (9)

World Ocean Review 2015 : Mit den Meeren leben 3. Rohstoffe aus dem Meer - Chancen und Risiken

Maribus eBooks (2014)

C. Bücker Uwe Jenisch Stephan Lutter Nele Matz‐Lück Jürgen Messner

Die dritte Ausgabe des „World Ocean Review“ widmet sich den metallischen und energetischen Ressourcen des Meeres und ihrer Nutzung. Er liefert Fakten uber den Abbau der bekannten Ol- und Gasvorkommen unterhalb des Meeresbodens und beleuchtet die Auswirkungen auf Flora und Fauna. Er erklart die Entstehung und Potenziale der Gashydratvorkommen an den Kontinentalrandern und liefert detaillierte Informationen uber Chancen und Risiken der Nutzung mineralischer Rohstoffe: Manganknollen, Kobaltkrusten und Massivsulfide.

Source

Cite

Citations (1)

EduClust -A Visualization Application for Teaching Clustering Algorithms

HAL (Le Centre pour la Communication Scientifique Directe) (2019)

Johannes Fuchs Petra Isenberg Anastasia Bezerianos Matthias Miller Daniel A. Keim

We present EduClust, a visualization application for teaching clustering algorithms. EduClust is an online application that combines visualizations, interactions, and animations to facilitate the understanding and teaching of clustering steps, parameters, and procedures. Traditional classroom settings aim for cognitive processes like remembering and understanding. We designed EduClust for expanded educational objectives like applying and evaluating. Educators can use the tool in class to show the effect of different clustering parameters on various datasets while animating through each algorithm's steps, but also use the tool to prepare traditional teaching material quickly by exporting animations and images. Students, on the other hand, benefit from the ability to compare and contrast the influence of clustering parameters on different datasets, while seeing technical details such as pseudocode and step-by-step explanations.

Source

Cite

Citations (5)

Are my Children Old Enough to Read these Books? Age Suitability Analysis

Polibits (2011)

Franz Wanner Johannes Fuchs Daniela Oelke Daniel A. Keim

In general, books are not appropriate for all ages, so the aim of this work was to find an effective method of representing the age suitability of textual documents, making use of automatic analysis and visualization.Interviews with experts identified possible aspects of a text (such as 'is it hard to read?') and a set of features were devised (such as linguistic complexity, story complexity, genre) which combine to characterize these age related aspects.In order to measure these properties, we map a set of text features onto each one.An evaluation of the measures, using Amazon Mechanical Turk, showed promising results.Finally, the set features are visualized in our age-suitability tool, which gives the user the possibility to explore the results, supporting transparency and traceability as well as the opportunity to deal with the limitations of automatic methods and computability issues.

10.17562/pb-43-13

Cite

Citations (10)

Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters

David Pomerenke Frederik L. Dennig Daniel A. Keim Johannes Fuchs Michael Blumenschein

Parallel coordinates are a popular technique to visualize multi-dimensional data. However, they face a significant problem influencing the perception and interpretation of patterns. The distance between two parallel lines differs based on their slope. Vertical lines are rendered longer and closer to each other than horizontal lines. This problem is inherent in the technique and has two main consequences: (1) clusters which have a steep slope between two axes are visually more prominent than horizontal clusters. (2) Noise and clutter can be perceived as clusters, as a few parallel vertical lines visually emerge as a ghost cluster. Our paper makes two contributions: First, we formalize the problem and show its impact. Second, we present a novel technique to reduce the effects by rendering the polylines of the parallel coordinates based on their slope: horizontal lines are rendered with the default width, lines with a steep slope with a thinner line. Our technique avoids density distortions of clusters, can be computed in linear time, and can be added on top of most parallel coordinate variations. To demonstrate the usefulness, we show examples and compare them to the classical rendering.

Parallel

Horizontal and vertical

Parallel coordinates

Horizontal line test

10.1109/visual.2019.8933706

Cite

Citations (8)

Evaluating Ordering Strategies of Star Glyph Axes

arXiv (Cornell University) (2019)

Matthias Miller Xuan Zhang Johannes Fuchs Michael Blumenschein

Star glyphs are a well-researched visualization technique to represent multi-dimensional data. They are often used in small multiple settings for a visual comparison of many data points. However, their overall visual appearance is strongly influenced by the ordering of dimensions. To this end, two orthogonal categories of layout strategies are proposed in the literature: order dimensions by similarity to get homogeneously shaped glyphs vs. order by dissimilarity to emphasize spikes and salient shapes. While there is evidence that salient shapes support clustering tasks, evaluation, and direct comparison of data-driven ordering strategies has not received much research attention. We contribute an empirical user study to evaluate the efficiency, effectiveness, and user confidence in visual clustering tasks using star glyphs. In comparison to similarity-based ordering, our results indicate that dissimilarity-based star glyph layouts support users better in clustering tasks, especially when clutter is present.

Glyph (data visualization)

Similarity (geometry)

Star (game theory)

Source

Cite

Citations (0)

ClockMap: Enhancing Circular Treemaps with Temporal Glyphs for Time-Series Data

Fabian Fischer Johannes Fuchs Florian Mansmann

Treemaps are a powerful method to visualize especially time-invariant hierarchical data. Most attention is drawn to rectangular treemaps, because their space-filling layouts provide good scalability with respect to the amount of data that can be displayed. Since circular treemaps sacrifice the space-filling property and since higher level circles only approximately match the aggregated size of their descendants, they are rarely used in practice. However, for drawing circular glyphs their shape preserving property can outweigh these disadvantages and facilitate comparative tasks within and across hierarchy levels. The interactive ClockMap visualization effectively supports the user in exploring and finding patterns in hierarchical time-series data through drill-down, semantic zoom and details-on-demand. In this study, the technique’s applicability is demonstrated on a real-world dataset about network traffic of a large computer network and its advantages and disadvantages are discussed in the context of alternative layouts.

10.2312/pe/eurovisshort/eurovisshort2012/097-101

Cite

Citations (50)