From Topic Networks to Distributed Cognitive Maps: Zipfian Topic Universes in the Area of Volunteered Geographic Information

Figure 5

Visualizations of a TTN (top left) and two corresponding ATNs. The TNs are derived from the city wiki München (https://www.muenchenwiki.de/wiki/Hauptseite) (see Section 4 for statistics about this wiki) using the procedural model of Section 3.2. Top right shows the ATN for which (co)authorship activities are estimated by means of Wikipedia (see Section 3.2.3). The ATN for which these activities are estimated via the wiki itself is displayed below. The visualizations are carried out by means of PolyViz [73] regarding the level of the DDC: nodes are labeled (with numbers denoting the respective level class) and colored to encode their membership to one of the top 10 DDC classes (see Appendix). The higher the weight of a topic, the larger the node, and the higher the weight of an arc, the thicker the line. Node and line sizes are defined relative to the maximum vertex and arc weights of the underlying network.

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