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Sabina Sara Pfister
Ph.D. Neuroinformatics
ETH, Zurich
Jimmy Morzaria
B.E.(Hons) Computer Science
M.Sc.(Hons) Mathematics
BITS-Pilani, Goa
Jason Montojo, MSc
Software Engineer
Cytoscape, GeneMANIA
Research Officer
The Donnelly Centre
University of Toronto
• Cytoscape is an open source software platform for visualizing
complex networks and integrating these with any type of attribute
data.
• It supports of a rich collection of Apps for various kinds of problem
domains, including bioinformatics, social network analysis and
semantic web.
• Cytoscape is developed in Java.
• DynNetwork is an application which adds to Cytoscape the
functionality to visualize and analyse dynamic networks.
• Allows users to not only import and visualize dynamic networks
interactively but also provides them with features to view dynamic
attributes, compute centrality parameters and plot charts for the
same.
• Serve as a tool for researchers working in dynamic network analysis.
• Serve as a platform for testing dynamic layout and clustering
algorithms.
• Provide an event-based implementation of dynamic network
storage and visualization, for future extension toward fully event
driven graphs.
• Provide users with centrality parameters for dynamic network data,
to aid analysis.
• Event based implementation of dynamic network storage and visualization.
• Entities (nodes/ individuals, edges/interactions) are a set of events.
• Every event has a real-valued time coordinate indicating when it occurs.
• If the event is not instantaneous, it also has an ending coordinate to indicate its duration.
• Events can describe attribute or position changes.
[1] Skye Bender-deMoll, Dan McFarland(2006) The Art and Science of Dynamic Network
Visualization.
[1]
• DynNetwork allows you to visualize dynamic networks in Cytoscape.
• It also allows you to apply dynamic layouts, for instance, Kamada-Kawai Layout, Prefuse Force
directed Layout.
• DynNetwork lets you compute centrality parameters for the dynamic network and also plot a
timeseries.
• A user could compute the following centrality parameters for the dynamic network to aid
dynamic network analysis:
• Degree, Indegree, Outdegree
• Closeness
• Radiality
• Eccentricity
• Betweenness
• Stress
• Eigenvector
• Centroid
• Implementation of dynamic layout algorithms, for instance, Yi-fan Hu's Multilevel Layout,
Magnetic Force Layout, etc.
• Real time streaming of Dynamic Graphs in Cytoscape.
• Let users interactively construct dynamic networks in Cytoscape.
For detailed documentation and source code visit:
https://code.google.com/p/dynnetwork/
Post your queries/issues on:
https://groups.google.com/forum/#!forum/cytoscape-discuss

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Visualization and Analysis of Dynamic Networks

  • 1.
  • 2. Sabina Sara Pfister Ph.D. Neuroinformatics ETH, Zurich Jimmy Morzaria B.E.(Hons) Computer Science M.Sc.(Hons) Mathematics BITS-Pilani, Goa Jason Montojo, MSc Software Engineer Cytoscape, GeneMANIA Research Officer The Donnelly Centre University of Toronto
  • 3. • Cytoscape is an open source software platform for visualizing complex networks and integrating these with any type of attribute data. • It supports of a rich collection of Apps for various kinds of problem domains, including bioinformatics, social network analysis and semantic web. • Cytoscape is developed in Java.
  • 4. • DynNetwork is an application which adds to Cytoscape the functionality to visualize and analyse dynamic networks. • Allows users to not only import and visualize dynamic networks interactively but also provides them with features to view dynamic attributes, compute centrality parameters and plot charts for the same.
  • 5. • Serve as a tool for researchers working in dynamic network analysis. • Serve as a platform for testing dynamic layout and clustering algorithms. • Provide an event-based implementation of dynamic network storage and visualization, for future extension toward fully event driven graphs. • Provide users with centrality parameters for dynamic network data, to aid analysis.
  • 6. • Event based implementation of dynamic network storage and visualization. • Entities (nodes/ individuals, edges/interactions) are a set of events. • Every event has a real-valued time coordinate indicating when it occurs. • If the event is not instantaneous, it also has an ending coordinate to indicate its duration. • Events can describe attribute or position changes. [1] Skye Bender-deMoll, Dan McFarland(2006) The Art and Science of Dynamic Network Visualization. [1]
  • 7.
  • 8. • DynNetwork allows you to visualize dynamic networks in Cytoscape. • It also allows you to apply dynamic layouts, for instance, Kamada-Kawai Layout, Prefuse Force directed Layout.
  • 9.
  • 10. • DynNetwork lets you compute centrality parameters for the dynamic network and also plot a timeseries. • A user could compute the following centrality parameters for the dynamic network to aid dynamic network analysis: • Degree, Indegree, Outdegree • Closeness • Radiality • Eccentricity • Betweenness • Stress • Eigenvector • Centroid
  • 11.
  • 12. • Implementation of dynamic layout algorithms, for instance, Yi-fan Hu's Multilevel Layout, Magnetic Force Layout, etc. • Real time streaming of Dynamic Graphs in Cytoscape. • Let users interactively construct dynamic networks in Cytoscape. For detailed documentation and source code visit: https://code.google.com/p/dynnetwork/ Post your queries/issues on: https://groups.google.com/forum/#!forum/cytoscape-discuss