当前位置: X-MOL 学术Comput. Soc. Netw. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Network analysis of internal migration in Croatia
Computational Social Networks Pub Date : 2021-03-04 , DOI: 10.1186/s40649-021-00093-0
Dino Pitoski , Thomas J. Lampoltshammer , Peter Parycek

Migration, and urbanization as its consequence, is among the most intricate political and scientific topics, predicted to have huge effects on human lives in the near future. Thus being said, previous works have mainly focused on international migration, and the research on internal migration outside of the US is scarce, and in the case of Europe—the ubiquitous center of migration affairs—only in its infancy. Observing migration between settlements, especially using network analysis indicators and models, can help to explain and predict migration, as well as urbanization originating from internal migration. We therefore conducted a network analysis of internal migration in Croatia, providing insights into the size of internal migration in population, and relative sizes between intra-settlement migration, inter-settlement migration and population. Through centrality analysis, we provide insights into hierarchy of importance, especially, in terms of the overall flow and overall attractiveness of particular settlements in the network. The analysis of the network structure reveals high presence of reciprocity and thus the importance of internal migration to urbanization, as well as the systematic abandonment of large cities in the east of the country. The application of three different community detection algorithms provides insights for the policy domain in terms of the compatibility of the current country administrative subdivision schemes and the subdivision implied by migration patterns. For network scholars, the analysis at hand reveals the status quo in applied network analysis to migration, the works published, the measures used, and potential metrics outside those applied which may be used to better explain and predict the intricate phenomenon of human migration.

中文翻译:

克罗地亚内部移徙的网络分析

移徙和城市化是其最复杂的政治和科学主题之一,预计在不久的将来会对人类生活产生巨大影响。可以这么说,以前的工作主要集中在国际移徙上,对美国以外的内部移徙的研究很少,在欧洲这个无处不在的移徙事务中心中,还只是处于起步阶段。观察定居点之间的迁徙,尤其是使用网络分析指标和模型,可以帮助解释和预测迁徙以及由内部迁徙引起的城市化。因此,我们对克罗地亚的内部移民进行了网络分析,以洞悉内部人口内部迁移的规模,以及定居点内部移徙,定居点之间移徙与人口之间的相对规模。通过集中性分析,我们提供了对重要性层次结构的见解,尤其是在网络中特定住区的总体流量和总体吸引力方面。对网络结构的分析揭示了互惠的高度存在,因此内部迁移对城市化的重要性以及该国东部大城市的系统性废弃。三种不同的社区检测算法的应用从当前国家行政区划方案和迁移模式所隐含的区划的兼容性方面为政策领域提供了见识。对于网络学者来说,手头的分析揭示了将网络分析应用到迁移中的现状,发表的作品,使用的措施,
更新日期:2021-03-04
down
wechat
bug