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Node2Vec embedding model trained on Czech wikidata (from October 2020) labels using gensim implementation of Word2Vec with the following parameters for random walks: length of walk = 80 number of random walks = 40
model, czech wikidata, word embedding, gensim, node2vec
model, czech wikidata, word embedding, gensim, node2vec
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 3 | |
| downloads | 16 |

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