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Visual Analysis of Contagion in Networks

Landesberger, Tatiana von and Diel, Simon and Bremm, Sebastian and Fellner, Dieter W. (2015):
Visual Analysis of Contagion in Networks.
In: Information Visualization, pp. 93-110PublishedonlinebeforerintMay28, 14, (2), DOI: 10.1177/1473871613487087, [Article]

Abstract

Contagion is a process whereby the collapse of a node in a network leads to the collapse of neighboring nodes and thereby sets off a chain reaction in the network. It thus creates a special type of time-dependent network. Such processes are studied in various applications, for example, in financial network analysis, infection diffusion prediction, supply-chain management, or gene regulation. Visual analytics methods can help analysts examine contagion effects. For this purpose, network visualizations need to be complemented with specific features to illustrate the contagion process. Moreover, new visual analysis techniques for comparison of contagion need to be developed. In this paper, we propose a system geared to the visual analysis of contagion. It includes the simulation of contagion effects as well as their visual exploration. We present new tools able to compare the evolution of the different contagion processes. In this way, propagation of disturbances can be effectively analyzed. We focus on financial networks; however, our system can be applied to other use cases as well.

Item Type: Article
Erschienen: 2015
Creators: Landesberger, Tatiana von and Diel, Simon and Bremm, Sebastian and Fellner, Dieter W.
Title: Visual Analysis of Contagion in Networks
Language: English
Abstract:

Contagion is a process whereby the collapse of a node in a network leads to the collapse of neighboring nodes and thereby sets off a chain reaction in the network. It thus creates a special type of time-dependent network. Such processes are studied in various applications, for example, in financial network analysis, infection diffusion prediction, supply-chain management, or gene regulation. Visual analytics methods can help analysts examine contagion effects. For this purpose, network visualizations need to be complemented with specific features to illustrate the contagion process. Moreover, new visual analysis techniques for comparison of contagion need to be developed. In this paper, we propose a system geared to the visual analysis of contagion. It includes the simulation of contagion effects as well as their visual exploration. We present new tools able to compare the evolution of the different contagion processes. In this way, propagation of disturbances can be effectively analyzed. We focus on financial networks; however, our system can be applied to other use cases as well.

Journal or Publication Title: Information Visualization
Volume: 14
Number: 2
Uncontrolled Keywords: Business Field: Visual decision support, Forschungsgruppe Visual Search and Analysis (VISA), Forschungsgruppe Semantic Models, Immersive Systems (SMIS), Visual analytics, Network visualization, Time dependence, Financial data, Contagion effects
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Date Deposited: 06 May 2019 10:05
DOI: 10.1177/1473871613487087
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