• Knowledge Graphs: The New Type of Document for the 21st Century

    network-in-space

    Excel was a revolutionary product for the time, but in the 21st century columns and rows are not sufficient anymore. What matters today are multidimensional relations between data, which combine a better view of the bigger picture with an attention to detail: networks and graphs.

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  • Identifying the Pathways for Meaning Circulation using Text Network Analysis

    In this work we propose a method and algorithm for identifying the pathways for meaning circulation within a text. This is done by visualizing normalized textual data as a graph and deriving the key metrics for the concepts and for the text as a whole using network analysis. The resulting data and graph representation are then used to detect the key concepts, which function as junctions for meaning circulation within a text, contextual clusters comprised of word communities (themes), as well as the most often used pathways for meaning circulation.

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