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Graph Drawing (4DV802)

Professor

Prof. Dr. Andreas Kerren

Time & Place

Compare here (4DV802)

Teaching Period

II (2019-11-04 till 2020-01-17)

Assessment

Assignments and oral examinations. Oral examinations will take place in week 3.

Prerequisites

At least 90 higher education credits of university studies in Computer Science including a course on Algorithms and Advanced Data Structures.

Credits

7.5 ECTS

Topic

Graph Drawing

This course will give an introduction to the most important techniques and approaches for drawing graphs and networks. The focus is on algorithms, and hence the course enables the student to implement own graph layout tools. Graph Drawing is an important subfield of Information Visualization. It is of great practical relevance for many industrial applications, such as software development, analysis of biochemical networks, etc. (see above images).

Complex information can be better perceived by using visual representations. Graph Drawing is a way of representing structural information as diagrams of abstract graphs and networks, i.e., of a set of nodes and edges as well as additional information. The aim is to develop algorithms that produce aesthetically appealing drawings! We will discuss drawing algorithms for general (directed and undirected) graphs, but also for special graphs, such as trees or directed acyclic graphs. Among others, the course will cover force-directed methods, layered drawings, orthogonal drawings, and dynamic graphs. Also, popular graph drawing software is discussed.

Furthermore, this course presents an information visualization view on Graph Drawing, such as interaction techniques, exploration, and labelling.

Schedule

Preliminary Schedule:

#	Date	Topic	Slides
1	2019-11-05	Introduction
2	2019-11-12	Drawing of Trees
3	2019-11-19	Layered Drawings of Digraphs - Part I
4	2019-11-20	Layered Drawings of Digraphs - Part II	↑
5	2019-11-26	Force-Directed Methods - Part I
6	2019-11-27	Force-Directed Methods - Part II	↑
7	2019-12-03	Planarity Tests and Planarization
8	2019-12-10	Flow and Orthogonal Drawings
9	2019-12-17	An InfoVis View on Graph Drawing

Materials

Learning Environment:

Moodle

Interesting URLs:

Graph Drawing Tools:

Graphviz (C)
yEd Graph Editor and yFiles (several platforms)
OGDF Open Graph Drawing Framework (C++)
Tulip - Graph Visualization Framework (C++)
Dunnart (Constraint-Based Diagram Editor; Qt, C++)
Network Workbench (Java)
JUNG Java Universal Network/Graph Framework (Java; not longer maintained)
D3 (JavaScript)
Sigma (JavaScript)
NodeXL (Template for Excel 2007, 2010, 2013 and 2016)
Gephi (The Open Graph Viz Platform; Java)

Assignments

Assignments consist of theoretical and practical exercises. They will be supervised by Dr. Kostiantyn Kucher. You can find general information about our assignments on the first assignment sheet.

Assignments:

Assignment 1 (Deadline: 2019-11-18; Presentation Date: 2018-11-19, 15:00-16:00, Room B3032 or remotely via Zoom)
Assignment 2 (Deadline: 2019-12-09; Presentation Date: 2019-12-10, 15:00-16:00, Room B3032 or remotely via Zoom)
Assignment 3 (Deadline: 2020-01-06; Presentation Date: 2020-01-07, 15:00-16:00, Room B3032 or remotely via Zoom)

Further Courses

There are further interesting courses in Spring 20 that use the knowledge of the Graph Drawing course:

Information Visualization (4DV800)
Applied Information Visualization (4DV801)

We permanently offer interesting topics for Bachelor's and Master's Theses that are related to graph drawing.