|Using Gephi("an interactive visualization and exploration platform for all kinds of networks") to create unprocessed maps of exposed keywords to the user in the library of the Peace Palace, will result in an image in which a few huge subjects will dominate. These subjects are indicators of the core business of the library: Human Rights, European Union, United States of America, International Law and International Criminal Law to name just a few.To the left you see a very reduced image of such a map, but a few main keywords are still discernible.|
|Et voilà, after using the option 'rank parameter' in Gephi and choosing for betweenness centrality a new overall map appears, now with new highlighted nodes or keywords. Before zooming in, I will try to explain what betweenness centrality is. In brief, betweenness centrality is an indicator value for a key position. The higher the value the more important the role of the keyword. This value is calculated by counting the shortest paths between two keywords in our network. The keyword which appears the most times as being in between two different keywords, has the highest betweenness centrality value; these keywords are brokers or intermediaries. I used these values to create the map at the left.|
Those of you who would like to have the data file used in Gephi to create all the maps shown, do contact me at a.janson at ppl dot nl.
My other blogs about 'Gephi in libraries':