International Symposium on Graph Drawing & Network Visualization GD 2017

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活动简介

Graph Drawing is concerned with the geometric representation of graphs and constitutes the algorithmic core of Network Visualization. Graph Drawing and Network Visualization are motivated by applications where it is crucial to visually analyze and interact with relational datasets. Examples of such application areas include data science, social sciences, Web computing, information systems, biology, geography, business intelligence, information security and software engineering.

GD has been the main annual event in this area for more than 20 years. Its focus is on combinatorial and algorithmic aspects of graph drawing as well as the design of network visualization systems and interfaces. GD 2017 will be hosted by Northeastern University from September 25 to 27, 2017 in Boston, MA, USA. Researchers and practitioners working on any aspect of graph drawing and network visualization are invited to contribute papers and posters and to participate in the symposium and the graph drawing contest.

征稿信息

重要日期

2017-06-11

初稿截稿日期

2017-07-28

初稿录用日期

征稿范围

TRACK 1: COMBINATORIAL AND ALGORITHMIC ASPECTS

This track is mainly devoted to fundamental graph drawing advances, such as combinatorial aspects and algorithm design. The range of topics for this track includes (but is not limited to):

Design and analysis of graph drawing algorithms
Geometric graph theory
Geometric computing
Planarity and topological graph theory
Optimization on graphs

TRACK 2: EXPERIMENTAL, APPLIED, AND NETWORK VISUALIZATION ASPECTS

This track is mainly devoted to the practical aspects of graph drawing, such as the development of network visualization systems and interfaces in different application areas. The range of topics for this track includes (but is not limited to):

Visualization of graphs and networks in real world applications, including big data
Engineering of network visualization algorithms and systems
Experimental results in graph theory and algorithms
Benchmarks and experimental studies of network visualization systems and user interfaces
Cognitive studies on graph drawing readability and user interaction
Interfaces and methods for interacting with graphs