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Tag Archives: infographic

From Moritz Stefaner, the same person who created the elegant “elastic” Noble Price lists, comes the brand-new Eigenfactor: Visualizing Information Flow in Science []. The project contains 4 beautiful interactive data visualizations that explore the emerging patterns in scientific citation networks.

Citation Patterns” provides an overview of the whole citation network in a circular graph. The colors represent the 4 main groups of journals, which are further subdivided into fields in the outer ring. Line size and opacity represents connection strength

Change over Time” is a combination of a Sankey Diagram (see some other examples here and here) and a stacked bar graph. It shows the changes in the “Eigenfactor Score” and clustering over time. Journals are grouped vertically according to their cluster structure. Bars belonging to the same journal are connected.

The “Clustering” graph displays a hierarchical clustering of journals in the form of a treemap …with a twist: rectangles can be clicked to reveal directional black arrow that indicate the outgoing versus incoming citation flow. The size of a journal marker corresponds to its “Eigenfactor Score”.

Finally, the “Map” shows an interactive network graph clustering those which frequently cite each other, closer together. The node sizes represent the relative amount of citation flow.





See application


“Immaterials: the Ghost in the Field” is about the exploration of the spatial qualities of RFID technology, which is meticulously visualized through an RFID probe, long exposure photography and animation. In order to study the readable volume around an RFID reader, Timo Arnall [] and Jack Schulze [] built experimental probes that would flash an LED light when they successfully read an RFID tag. The readable volume is not the same as the radio field, instead it shows the space within the field in which an RFID tag and an RFID reader will interact with each other. In a dark room, the probes were moved around the various RFID tags and readers, with a camera taking long-exposure photographs of the resulting patterns of light. In this way, layers were built up by slicing through the field in different ways, creating animations that clearly reveal the spatial properties of this interaction.

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