Liveplasma. Every Noise at Once. Italian progressive metal deep symphonic black metal christian symphonic metal brazilian classical piano native american spiritual indonesian alternative rock romanian contemporary classical greek contemporary classical classic progressive house vintage italian soundtrack japanese progressive house novos talentos brasileiros melbourne bounce international south african alternative finnish progressive metal progressive electro house deep contemporary country historic piano performance american 21st century classical uk experimental electronic african-american classical italian occult psychedelia instrumental acoustic guitar musica cristiana guatemalteca latin american heavy psych swiss contemporary classical turkish classical performance post-rock latinoamericano swedish progressive metal symphonic melodic death metal argentine alternative rock canadian contemporary r&b musica colombiana instrumental rap underground colombiano musica gaucha tradicionalista swedish singer-songwriter spanish contemporary classical.
TuneGlue° | Relationship Explorer. Gnod - Music-Map. Mapping Related Musical Genres on Wikipedia/DBPedia With Gephi. Following on from Mapping How Programming Languages Influenced Each Other According to Wikipedia, where I tried to generalise the approach described in Visualising Related Entries in Wikipedia Using Gephi for grabbing datasets in Wikipedia related to declared influences between items within particular subject areas, here’s another way of grabbing data from Wikipedia/DBpedia that we can visualise as similarity neighbourhoods/maps (following @danbri: Everything Still Looks Like A Graph (but graphs look like maps)).
In this case, the technique relies on identifying items that are associated with several different values for the same sort of classification-type. So for example, in the world of music, a band may be associated with one or more musical genres. If a particular band is associated with the genres Electronic music, New Wave music and Ambient music, we might construct a graph by drawing lines/edges between nodes representing each of those musical genres. Like this: Like Loading...