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Visual Analytics Ksenia Kharadzhieva
Structure of the Presentation●   Visualization and integrated disciplines●   Goals of visual analytics●   Aspects of visua...
Integrated disciplines                         [1]
Goals of Visual Analytics●   presentation of data in an understandable way●   analysis of large datasets●   derivation of ...
Considered aspects of Visual Analytics●   Space and time visualization●   Plagiarism visualization●   Visualization of soc...
Temporal and Geospatial Visualization●   Geospatial data is different from usual statistical data.●   Toblers first law: "...
Space-time cube                  [1]
Linear and cyclic representation                                   [1]
Plagiarism Visualization                           [9]
Plagiarism Visualization                           [9]
Visualization of Social Networks                                   [2]
Visualization of Social Networks                                   [3]
Visualization of Scientific      Collaboration                              [4]
Perception and Cognition●   "Visual perception is the means by which people interpret    their surroundings and for that m...
Perception and Cognition                           [1]
Perception and Cognition                           [1]
Libraries and Frameworks    for Visualization
OpenGL●   "OpenGL (for Open Graphics Library) is a software    interface to graphics hardware."●   Interface: a set of sev...
OpenGL: Visualization of Contacts in            Twitter                                       [7]
Gephi●   graph and network visualization●   allows to work with complex and    large data sets●   extensive functionality:...
Gapminder     ●   Designed to make world         census data available to a         wider audience     ●   Two-dimentional...
What can we implement?
Geospatial and Temporal Visualization                   ●   Nodes represent research                       institutions   ...
Visualization of Plagiarism                  ●   Each page is a little square                  ●   Depending on percentage...
Bibliographic Coupling           ●   If paper cite the same               sources, they are connected               with a...
Thank you!
References1. D.A. Keim, J. Kohlhammer, G. Ellis, and F. Mansmann. Mastering the Information   Age - Solving Problems with ...
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Visual Analytics

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Transcript of "Visual Analytics"

  1. 1. Visual Analytics Ksenia Kharadzhieva
  2. 2. 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?
  3. 3. Integrated disciplines [1]
  4. 4. 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
  5. 5. Considered aspects of Visual Analytics● Space and time visualization● Plagiarism visualization● Visualization of social networks● Visualization of scientific collaboration● Perception and cognitive aspects
  6. 6. 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. [1]
  7. 7. Space-time cube [1]
  8. 8. Linear and cyclic representation [1]
  9. 9. Plagiarism Visualization [9]
  10. 10. Plagiarism Visualization [9]
  11. 11. Visualization of Social Networks [2]
  12. 12. Visualization of Social Networks [3]
  13. 13. Visualization of Scientific Collaboration [4]
  14. 14. 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." [1]
  15. 15. Perception and Cognition [1]
  16. 16. Perception and Cognition [1]
  17. 17. Libraries and Frameworks for Visualization
  18. 18. 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 [6]
  19. 19. OpenGL: Visualization of Contacts in Twitter [7]
  20. 20. 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 [8]
  21. 21. 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 [10]
  22. 22. What can we implement?
  23. 23. Geospatial and Temporal Visualization ● Nodes represent research institutions ● Thickness of connection lines depends on number of co-authorships ● Enabling change of time dinamically and observe changes ● Filtering [5]
  24. 24. 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, its0% 100% contents and used sources
  25. 25. 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
  26. 26. Thank you!
  27. 27. 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_Wiki10.http://www.gapminder.org/
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