Visual Analytics

Ksenia Kharadzhieva

Structure of the Presentation● Visualization and integrated disciplines● Goals of visual analytics● Aspects of visual analytic, relevant to our PG● Tools and frameworks for visual analytics● What can be implemented?

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Integrated disciplines

Goals of Visual Analytics

● presentation of data in an understandable way● analysis of large datasets● derivation of relevant data from large datasets● discovering hidden information, patterns, trends● providing instruments for interaction with data

Considered aspects of Visual Analytics

● Space and time visualization● Plagiarism visualization● Visualization of social networks● Visualization of scientific collaboration● Perception and cognitive aspects

Temporal and Geospatial Visualization● Geospatial data is different from usual statistical data.● Toblers first law: "everything is related to everything else,

but near things are more related than distant things".● Data is often uncertain: errors, missing values, deviations.● Hierarchical scale of time; different types of time: linear and

cyclic, branching and multiple perspectives.

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Space-time cube

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Linear and cyclic representation

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Plagiarism Visualization

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Plagiarism Visualization

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Visualization of Social Networks

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Visualization of Social Networks

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Visualization of Scientific Collaboration

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Perception and Cognition● "Visual perception is the means by which people interpret

their surroundings and for that matter, images on a computer display".

● "Cognition is the ability to understand this visual information, making inferences largely based on prior learning".

● "Knowledge of how we ’think visually’ is important in the design of user interfaces."

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Perception and Cognition

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Perception and Cognition

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Libraries and Frameworksfor Visualization

OpenGL● "OpenGL (for Open Graphics Library) is a software

interface to graphics hardware." ● Interface: a set of several hundred procedures and functions ● Enables specifying the objects and operations for producing

high-quality graphical images

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OpenGL: Visualization of Contacts in Twitter

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Gephi● graph and network visualization● allows to work with complex and

large data sets● extensive functionality:

importing, visualizing, spatializing, altering, manipulating and exporting

● extensibility: tools and fitures can be added

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Gapminder● Designed to make world

census data available to a wider audience

● Two-dimentional chart, use of colour and size

● Allowes the user to explore the change of the variables over time

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What can we implement?

Geospatial and Temporal Visualization

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● Nodes represent research institutions

● Thickness of connection lines depends on number of co-authorships

● Enabling change of time dinamically and observe changes

● Filtering

Visualization of Plagiarism● Each page is a little square● Depending on percentage of

plagiarised content each page has a colour from green to red

● Opportunity to see percentage of plagiaism of a chosen page, its contents and used sources0% 100%

Bibliographic Coupling● If paper cite the same

sources, they are connected with an arc

● Thickness depends on number of common citings

● Alternative visualization: similarity between papers

Thank you!

References1. D.A. Keim, J. Kohlhammer, G. Ellis, and F. Mansmann. Mastering the Information

Age - Solving Problems with Visual Analytics. Florian Mansmann.

2. http://www.guardian.co.uk/

3. http://www.facebook.com/

4. Erik Duval Till Nagel. Interactive exploration of geospatial network visualization. 2011.

5. http://maps.google.com/

6. Mark Segal and Kurt Akeley. The opengl graphics system: A specication, 2011.

7. http://uglyhack.appspot.com/twittergraph/

8. https://gephi.org/

9. http://de.guttenplag.wikia.com/wiki/GuttenPlag_Wiki

10.http://www.gapminder.org/