Typo

Author: gerritjandebruin

README.md

@@ -20,7 +20,7 @@ graph = nx.fast_gnp_random_graph(n=100, p=0.5)
 node2vec = Node2Vec(graph, dimensions=64, walk_length=30, num_walks=200, workers=4)  # Use temp_folder for big graphs
 
 # Embed nodes
-model = node2vec.fit(window=10, min_count=1, batch_words=4)  # Any keywords acceptable by gensim.Word2Vec can be passed, `diemnsions` and `workers` are automatically passed (from the Node2Vec constructor)
+model = node2vec.fit(window=10, min_count=1, batch_words=4)  # Any keywords acceptable by gensim.Word2Vec can be passed, `dimensions` and `workers` are automatically passed (from the Node2Vec constructor)
 
 # Look for most similar nodes
 model.wv.most_similar('2')  # Output node names are always strings