Uncovering the differences in linguistic network dynamics of book and social media texts
Yazarlar (3)
Prof. Dr. İlker TÜRKER Karabük Üniversitesi, Türkiye
Doç. Dr. Eftal ŞEHİRLİ Karabük Üniversitesi, Türkiye
Dr. Öğr. Üyesi Emrullah DEMİRAL Karabük Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Springerplus (Q2) | ||
| Dergi ISSN | 2193-1801 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 06-2016 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 24-06-2016 |
| Cilt / Sayı / Sayfa | 5 / 1 / 864–0 | DOI | 10.1186/s40064-016-2598-2 |
| Makale Linki | http://dx.doi.org/10.1186/s40064-016-2598-2 | ||
| UAK Araştırma Alanları |
Algoritmalar ve Hesaplama Kuramı
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| Özet |
| Complex network studies span a large variety of applications including linguistic networks. To investigate the differences in book and social media texts in terms of linguistic typology, we constructed both sequential and sentence collocation networks of book, Facebook and Twitter texts with undirected and weighted edges. The comparisons are performed using the basic parameters like average degree, modularity, average clustering coefficient, average path length, diameter, average link weight etc. We also presented the distribution graphs for node degrees, edge weights and maximum degree differences of the pairing nodes. The degree difference occurrences are furtherly detailed with the grayscale percentile plots with respect to the edge weights. We linked the network analysis with linguistic aspects like word and sentence length distributions. We concluded that linguistic typology demonstrates a formal usage … |
| Anahtar Kelimeler |
| Complex networks | Linguistic evolution | Linguistic networks | Social media |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 5 |
| Scopus | 5 |
| Google Scholar | 12 |