With similar connectivity profiles. We have shown how both global digital and buy Nutlin (3a) physical network flows can contribute to support a better monitoring of SDG indicators, as illustrated by the high correlation between Internet and postal flows on the one hand, with an exhaustive list of socioeconomic indicators on the other hand.PLOS ONE | DOI:10.1371/journal.pone.0155976 June 1,16 /The International Postal Network and Other Global Flows as Proxies for National WellbeingWe also note the considerable potential, exposed here, for future applications of postal flow data. While we have here restricted our analysis to country-level relations, postal flows allow for socio-economic mapping on a sub-national level which can inform development programmes on a practical level. An additional dimension to be explored–that is beyond the scope of this paper is temporal analysis which, combined with the multiplex network model presented above, could provide early warning of economic Nutlin (3a) chemical information shocks and their propagation [41]. Interestingly, despite the ease of digital interactions and subsequent evidence that `distance is dead’ [42], physical networks, particularly the global postal, flight and migration networks, are still stronger candidates for proxy variables in case of missing data than digital networks such as the Internet or social media. These networks not only reach populations excluded from access to digital communications, but are also associated with the highest number of country pairs sharing relatively similar socioeconomic patterns, in turn opening numerous ways of completing missing data with proxy variables. In the digital era, greater granularity and frequency of analysis and monitoring of SDGs can, paradoxically, be achieved through global physical networks data. We expect that the value as proxies for the digital communication networks will increase as they mature, expand and become more accessible. In the near future, both physical and digital networks will need to be combined to optimise monitoring efforts. In that sense, the emergence of the Internet of things (IoT) could play a critical role by making even more fuzzy the frontiers between the digital and physical worlds.Supporting InformationS1 Fig. Correlation matrix augmented with correlation coefficients for each cell. All results are statistically significant with p<0.05. (EPS) S1 Table. Two-sample Kolmogorov-Smirnov test statistic results and p-values for socioeconomic indicator differences between pairs of countries with minimal and maximal community multiplexity values (1 and 6). (TEX) S1 File. International postal network edges, where Source is the sending country, Target is the receiving country and Weight is the volume of post sent, normalised over the Source country population and scaled. (CSV)AcknowledgmentsDesislava Hristova was supported by the Project LASAGNE, Contract No. 318132 (STREP), funded by the European Commission and EPSRC through Grant GALE (EP/K019392). We are grateful to Andrei Bejan for the statistics consultation and Noa Zilberman for advice on the DIMES Project data.Author ContributionsConceived and designed the experiments: DH AR JA MLO. Performed the experiments: DH. Analyzed the data: DH AR JA. Contributed reagents/materials/analysis tools: AR JA MLO. Wrote the paper: DH AR JA MLO CM.
Integrated Care Settings (ICS) provide a holistic approach to the transition from chronic kidney disease into renal replacement therapy (RRT), offering at least both types of d.With similar connectivity profiles. We have shown how both global digital and physical network flows can contribute to support a better monitoring of SDG indicators, as illustrated by the high correlation between Internet and postal flows on the one hand, with an exhaustive list of socioeconomic indicators on the other hand.PLOS ONE | DOI:10.1371/journal.pone.0155976 June 1,16 /The International Postal Network and Other Global Flows as Proxies for National WellbeingWe also note the considerable potential, exposed here, for future applications of postal flow data. While we have here restricted our analysis to country-level relations, postal flows allow for socio-economic mapping on a sub-national level which can inform development programmes on a practical level. An additional dimension to be explored–that is beyond the scope of this paper is temporal analysis which, combined with the multiplex network model presented above, could provide early warning of economic shocks and their propagation [41]. Interestingly, despite the ease of digital interactions and subsequent evidence that `distance is dead’ [42], physical networks, particularly the global postal, flight and migration networks, are still stronger candidates for proxy variables in case of missing data than digital networks such as the Internet or social media. These networks not only reach populations excluded from access to digital communications, but are also associated with the highest number of country pairs sharing relatively similar socioeconomic patterns, in turn opening numerous ways of completing missing data with proxy variables. In the digital era, greater granularity and frequency of analysis and monitoring of SDGs can, paradoxically, be achieved through global physical networks data. We expect that the value as proxies for the digital communication networks will increase as they mature, expand and become more accessible. In the near future, both physical and digital networks will need to be combined to optimise monitoring efforts. In that sense, the emergence of the Internet of things (IoT) could play a critical role by making even more fuzzy the frontiers between the digital and physical worlds.Supporting InformationS1 Fig. Correlation matrix augmented with correlation coefficients for each cell. All results are statistically significant with p<0.05. (EPS) S1 Table. Two-sample Kolmogorov-Smirnov test statistic results and p-values for socioeconomic indicator differences between pairs of countries with minimal and maximal community multiplexity values (1 and 6). (TEX) S1 File. International postal network edges, where Source is the sending country, Target is the receiving country and Weight is the volume of post sent, normalised over the Source country population and scaled. (CSV)AcknowledgmentsDesislava Hristova was supported by the Project LASAGNE, Contract No. 318132 (STREP), funded by the European Commission and EPSRC through Grant GALE (EP/K019392). We are grateful to Andrei Bejan for the statistics consultation and Noa Zilberman for advice on the DIMES Project data.Author ContributionsConceived and designed the experiments: DH AR JA MLO. Performed the experiments: DH. Analyzed the data: DH AR JA. Contributed reagents/materials/analysis tools: AR JA MLO. Wrote the paper: DH AR JA MLO CM.
Integrated Care Settings (ICS) provide a holistic approach to the transition from chronic kidney disease into renal replacement therapy (RRT), offering at least both types of d.
