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/).

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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  -