Analysis of Arab Israeli’s Sense of National Belonging Based on K-Means Cluster Algorithm
- DOI
- 10.2991/assehr.k.200331.066How to use a DOI?
- Keywords
- national belonging, K-means cluster analysis, Arabs, Israel
- Abstract
The sense of national belonging is an important feature of national identity and the core factor of the establishment of a nation state.Based on the cluster analysis method in social statistics, a quantitative analysis on the sense of belonging of Arab-Israelis is conducted in this paper.First of all, the Arab-Israelis can be is divided into two groups according to age structure and educational background.The new generation of Arab-Israelis is about 30 years old and has a good education background. The older ones are 50 years old on average and with a poor education less than 10 years. Secondly, the state of national belonging of Arab-Israelis is analyzed. The results show that the state belonging of Arab-Israelis is generally good, but there is a significant difference between the old and the new generations. The sense of national belonging of the new generation of Arab-Israelis is significantly higher than that of the older generation.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Wenjia Liu PY - 2020 DA - 2020/04/02 TI - Analysis of Arab Israeli’s Sense of National Belonging Based on K-Means Cluster Algorithm BT - Proceedings of the 5th International Conference on Social Sciences and Economic Development (ICSSED 2020) PB - Atlantis Press SP - 313 EP - 316 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.200331.066 DO - 10.2991/assehr.k.200331.066 ID - Liu2020 ER -