This thesis documents the development of a web-application attacking the problem of visualization of co-authorship networks. The visualization encompasses several views.Each of them shows different aspects of the data which is loaded from Academic Archive Online (DiVa), a library system which holds all publications released in the Linnaeus University.  To detect relationships among authors, a new interactive layout for Node-Link Diagrams was developed which shows publications, authors and corresponding organizations (faculties, departments) in a radial manner. This Network-View is connected to another view showing the attributes (year, type) of the publications. In development, particular emphasis was placed on a rich support of user interaction in order to equip the user with a tool that allows graphical and explorative analysis of the underlying data.

Modern vehicles equipped with many hardware and software systems. To develop new functionalities and maintain existing features of the vehicles, engineers have to check relationship between software and hardware systems. Due to complexity of these relationships, visual representation of how systems are working together is required to make R&D process easier. At Scania, engineers using node-link diagrams to represent logical function architecture of the Scania vehicles. Logical function architecture is a part of electrical and electronic systems in the automotive industry, due to size of these systems they are considered as a large network. Visualizing large networks by diagrams is not a new problem in literature. At past, researches published about diagram drawing and algorithms have been developed to generate good looking diagram. However, sometimes due to complexity of the data, having complex and unreadable diagrams are unavoidable and they are hard to understand. Previous studies investigated how diagrams should be drawn, however focus was not how users should interact with the diagrams. In node-link diagrams users follows edges to understand relationships between components. Having edges in the diagram heavily affects the diagram drawing time and also required space for the diagram. In this paper I developed an artefact which is not using edges to visualize LFA at Scania. Artefact usability has been tested with Scania engineers by giving some tasks to them. In the tests, artefact without edges achieved better results than node-link diagram and 426% improvement achieved by comparing task completion times in seconds. The artefact proved that it can be powerful alternative to classic node-link diagram visualization.

Visualization of complex data is a challenging topic. Data are often stored in spreadsheets making it difficult to get an overview of otherwise inaccessible information. Visualization of data is necessary for getting an understanding of complex structures. Organizations, among them financial institutions, nowadays consist of large owner structures and legal structures. Visualization of these structures is a challenging task due to the many levels of complexity within these structures.This report presents a visualization prototype of the legal business structures of financial institutions. The primary function of this prototype is to facilitate the understanding of complex legal business structures that would be hard to comprehend only from spreadsheets. The development of the prototype was performed using Python and NetworkX and the visualization was constructed as a graph representation. The evaluation of the prototype was conduced with semi-structured interviews together with a demonstration. The evaluation indicated that the utility of the visualization prototype concept can be further improved. The results suggests that a prototype is vital and is of good use for facilitating understanding of data. / Visualisering av data är ett svårt problem. Diverse data lagras ofta i textform vilket bidrar till en sämre översikt av datan. Med hjälp av visualisering kan man få en bättre förståelse för komplexa strukturer i datan. Organisationer så som finansinstitut involverar ofta stora ägarstrukturer och legala strukturer. Att kunna visualisera dessa strukturer blir då ett problem på grund av deras komplexitet.I denna rapport presenteras en visualiseringsprototyp av legala affärsstrukturer hos finansinstitut. Huvudsyftet med denna prototyp är att få en bättre förståelse av strukturer som annars är svåra att analysera utifrån enbart kalkylblad. Prototypen implementerades med hjälp av Python och NetworkX och visades visuellt som en graf representation. Evalueringen utfördes med hjälp av intervjuer samt en demonstration av prototypen. Evalueringen visar på att användarna ser en nytta med prototypen vilket tyder på att det finns utrymme för att vidare utveckla konceptet. Resultatet antyder att en visualisering är väsentlig när det kommer till att underlätta analys av data.

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