Hristova Desislava, Rutherford Alex, Anson Jose, Luengo-Oroz Miguel, Mascolo Cecilia
Computer Laboratory, University of Cambridge, Cambridge, United Kingdom.
United Nations Global Pulse, New York, NY, United States of America.
PLoS One. 2016 Jun 1;11(6):e0155976. doi: 10.1371/journal.pone.0155976. eCollection 2016.
The digital exhaust left by flows of physical and digital commodities provides a rich measure of the nature, strength and significance of relationships between countries in the global network. With this work, we examine how these traces and the network structure can reveal the socioeconomic profile of different countries. We take into account multiple international networks of physical and digital flows, including the previously unexplored international postal network. By measuring the position of each country in the Trade, Postal, Migration, International Flights, IP and Digital Communications networks, we are able to build proxies for a number of crucial socioeconomic indicators such as GDP per capita and the Human Development Index ranking along with twelve other indicators used as benchmarks of national well-being by the United Nations and other international organisations. In this context, we have also proposed and evaluated a global connectivity degree measure applying multiplex theory across the six networks that accounts for the strength of relationships between countries. We conclude by showing how countries with shared community membership over multiple networks have similar socioeconomic profiles. Combining multiple flow data sources can help understand the forces which drive economic activity on a global level. Such an ability to infer proxy indicators in a context of incomplete information is extremely timely in light of recent discussions on measurement of indicators relevant to the Sustainable Development Goals.
实物和数字商品流动留下的数字痕迹,为衡量全球网络中各国之间关系的性质、强度和重要性提供了丰富的依据。通过这项研究,我们考察了这些痕迹以及网络结构如何揭示不同国家的社会经济概况。我们考虑了实物和数字流动的多个国际网络,包括此前未被探索的国际邮政网络。通过测量每个国家在贸易、邮政、移民、国际航班、知识产权和数字通信网络中的位置,我们能够构建一些关键社会经济指标的代理指标,如人均国内生产总值和人类发展指数排名,以及联合国和其他国际组织用作国家福祉基准的其他十二个指标。在此背景下,我们还提出并评估了一种全球连通度测量方法,该方法运用多重网络理论对六个网络进行分析,考量了各国之间关系的强度。我们通过展示在多个网络中具有共同社群成员身份的国家如何拥有相似的社会经济概况来得出结论。整合多个流动数据源有助于理解推动全球经济活动的力量。鉴于近期有关与可持续发展目标相关指标测量的讨论,在信息不完整的情况下推断代理指标的这种能力显得尤为及时。