Table 4 Clustering the languages from the UNICODE-LANGUAGES network using the mean-weighted expander motif
From: Motif-based spectral clustering of weighted directed networks
Cluster 1 | Cluster 2 | Cluster 3 | Cluster 4 | Cluster 5 | Cluster 6 |
|---|---|---|---|---|---|
Spanish | English | Swahili | Indonesian | Chinese | Thai |
Arabic | Hindi | Kinyarwanda | Javanese | Wu Chinese | N.E. Thai |
Portuguese | Bengali | Somali | Malay | Korean | Khmer |
French | Urdu | Luba-Lulua | Sundanese | Xiang Chinese | N. Thai |
Russian | Punjabi | Kikuyu | Madurese | Hakka Chinese | S. Thai |
Japanese | Telugu | Congo Swahili | Minangkabau | Minnan Chinese | Shan |
German | Marathi | Luyia | Betawi | Gan Chinese | Pattani Malay |
Turkish | Vietnamese | Ganda | Balinese | Kazakh | |
Persian | Tamil | Luo | Buginese | Uighur | |
Italian | Lahnda | Sukuma | Banjar | Sichuan Yi | |
Egyptian Arabic | Filipino | Kalenjin | Achinese | Mongolian | |
Polish | Gujarati | Lingala | Sasak | Zhuang | |
Nigerian Pidgin | Kannada | Nyankole | Makasar | Tibetan | |
Ukrainian | Pushto | Gusii | Lampung Api | ||
Dutch | Malayalam | Kiga | Rejang | ||
Algerian Arabic | Oriya | Soga | |||
Moroccan Arabic | Burmese | Luba-Katanga | |||
Hausa | Bhojpuri | Meru | |||
Azerbaijani | Amharic | Teso | |||
Uzbek | Oromo | Nyamwezi | |||
⋯ | ⋯ | ⋯ | |||
|Cluster 1 | = 120 | |Cluster 2 | = 90 | |Cluster 3 | = 25 | |Cluster 4 | = 15 | |Cluster 5 | = 13 | |Cluster 6 | = 7 |