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This paper presents preliminary results of Croatian syllable networksanalysis. Syllable network is a network in which nodes are syllables and linksbetween them are constructed according to their connections within words. Inthis paper we analyze networks of syllables generated from texts collected fromthe Croatian Wikipedia and Blogs. As a main tool we use complex networkanalysis methods which provide mechanisms that can reveal new patterns in alanguage structure. We aim to show that syllable networks have much higherclustering coefficient in comparison to Erd\"os-Renyi random networks. Theresults indicate that Croatian syllable networks exhibit certain properties ofa small world networks. Furthermore, we compared Croatian syllable networkswith Portuguese and Chinese syllable networks and we showed that they havesimilar properties.

Initial Comparison of Linguistic Networks Measures for Parallel Texts