Workshop on Explorative Analytics of Information Networks

Almost all information archives can be represented as a mesh of connected information entities. Analyzing such networks in order to retrieve, discover or even create new connections that are yet unknown requires powerful tools for visualization, interaction and mining. While many graph mining tools have been already developed there is a lack of integrated tools that enable a user to interact with huge information networks such that creative information discoveries can be supported. Besides refined mining and aggregation methods the interaction with the mesh itself requires sophisticated visualization methods that have to consider the limited amount of information a user is able to handle at the same time.

The goals of the workshop are to intensify the exchange of ideas between different research communities to enable the design of tools for creation, analysis and visualization of complex information networks. The workshop focuses especially on researchers that are working on methods for representation of complex knowledge resources, (dynamic) data analysis methods, semantic networks, and visualization methods as well as user interface design.

Therefore, contributions to the workshop should focus on, but are not limited to:

  • Knowledge representation
  • Graphical Models
  • Theoretical foundations of information retrieval and interaction
  • Indexing methods that create information nets
  • Data structures and data bases for information networks
  • Bibliometrics
  • Semantic content analysis for text and multimedia
  • Query languages and processing
  • Creative discovery methods
  • User and preferences modeling (including feedback models)
  • Adaptive visualization methods

Key Dates

Deadline extended

  • Paper Submission due June 29, 2009
  • Notification of Acceptance on July 20, 2009
  • Camera Ready Papers due August 15, 2009
  • Workshop: September 11, 2009


  • Andreas Nürnberger
    Faculty of Computer Science
  • Michael R. Berthold
    University of Konstanz
    Department of Computer and Information Science

Program Committee

  • Christian Borgelt, European Centre for Soft Computing, Mieres, Spain
  • Ulrik Brandes, University of Konstanz, Germany
  • Werner Dubitzky, University of Ulster, United Kingdom
  • Andreas Hotho, University of Kassel, Germany
  • Nada Lavrač, Jožef Stefan Institute, Slovenia
  • Trevor Martin, University of Bristol, United Kingdom
  • Igor Mozetič, Jožef Stefan Institute, Slovenia
  • Luc de Raedt, Katholieke Universiteit Leuven, Belgium
  • Hannu Toivonen, University of Helsinki, Finland


11:00 - 12:30 Creation

  Information Networks: State of the Art
Tobias Kötter and Michael R. Berthold
  BisoNet Generation using Textual Data
Marc Segond and Christian Borgelt
  Constructing Information Networks from Text Documents
Matjaz Jursic, Nada Lavrac, Igor Mozetic, Vid Podpecan, Hannu Toivonen
  Gene Analytics: Discovery and Contextualization of Enriched Gene Sets
Nada Lavrac, Igor Mozetic, Vid Podpecan, Petra Kralj Novak, Helena Motaln, Marko Petek, Kristina Gruden

12:30 - 13:30 Lunch (on your own)

13:30 - 15:00 Analysis

  Review of Network Abstraction Techniques
Fang Zhou, Sebastien Mahler, Hannu Toivonen
  Probabilistic and Logical Inference for Network Mining
Luc de Raedt
  Finding representative nodes in probabilistic graphs
Laura Langohr and Hannu Toivonen
  Pure Spreading Activation is Pointless
Michael R. Berthold, Ulrik Brandes, Tobias Kötter, Martin Mader, Uwe Nagel, Kilian Thiel

15:00 - 15:30 Coffee break

15:30 - 17:00 Exploration

  Interactive Visualization of Continuous Node Features in r-partite Graphs
Stefan Haun, Marcus Nitsche, Andreas Nürnberger
  Creative Knowledge Discovery by Literature Outlier Detection
Ingrid Petric, Bojan Cestnik, Nada Lavrac, Tanja Urbancic
  Characterizing Semantic Relatedness of Search Query Terms
Dominik Benz, Beate Krause, G. Praveen Kumar, Andreas Hotho, Gerd Stumme
Download Program .

Paper Submission

Authors are invited to submit manuscripts dealing with the topic of the workshop to We welcome papers that present new results, ongoing projects or completed work (even previously published). The instructions for authors and the LaTeX packages can be found at There is no limitation on paper length although we recommend the usual page limits of around 12 pages.