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Pregled bibliografske jedinice broj: 699797

Complex Networks Measures for Differentiation between Normal and Shuffled Croatian Texts


Margan, Domagoj; Meštrović, Ana; Martinčić-Ipšić, Sanda
Complex Networks Measures for Differentiation between Normal and Shuffled Croatian Texts // Proceedings MIPRO junior - Student Papers / Biljanović, Petar (ur.).
Opatija, Croatia: Croatian Society for Information and Communication Technology, Electronics and Microelectronics - MIPRO, 2014. str. 1819-1823 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Complex Networks Measures for Differentiation between Normal and Shuffled Croatian Texts

Autori
Margan, Domagoj ; Meštrović, Ana ; Martinčić-Ipšić, Sanda

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings MIPRO junior - Student Papers / Biljanović, Petar - Opatija, Croatia : Croatian Society for Information and Communication Technology, Electronics and Microelectronics - MIPRO, 2014, 1819-1823

ISBN
978-953-233-078-6

Skup
IEEE 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2014)

Mjesto i datum
Opatija, Croatia, 26-30.05.2014

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Complex networks; linguistic co-occurrence networks; shuffling

Sažetak
This paper studies the properties of the Croatian texts via complex networks. We present network properties of normal and shuffled Croatian texts for different shuffling principles: on the sentence level and on the text level. In both experiments we preserved the vocabulary size, word and sentence frequency distributions. Additionally, in the first shuffling approach we preserved the sentence structure of the text and the number of words per sentence. Obtained results showed that degree rank distributions exhibit no substantial deviation in shuffled networks, and strength rank distributions are preserved due to the same word frequencies. Therefore, standard approach to study the structure of linguistic co-occurrence networks showed no clear difference among the topologies of normal and shuffled texts. Finally, we showed that the in- and out- selectivity values from shuffled texts are constantly below selectivity values calculated from normal texts. Our results corroborate that the node selectivity measure can capture structural differences between original and shuffled Croatian texts.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Projekt / tema
UniRi - 13.13.2.2.07

Ustanove
Sveučilište u Rijeci - Odjel za informatiku