Tables detail, for all commercial passenger and freight flights, country of origin and destination and the number of flights between them. [11]. The IP Traceroute Network. This city to city geocoded dataset is built from traceroutes in the form of directed IP to IP edges collected in a crowdsourced fashion by volunteers through the DIMES Project. The project relies on data from volunteers who have installed the measurement software which collects origin, destination and number of IP level edges which were discovered daily. We aggregate this data on a country to country basis and use it to construct an undirected buy Roc-A Internet topology network, weighted by the number of IPs discovered and normalised by population as all other networks. The data collection methods are described in detail in the founding paper of the project [39]. The global mapping of the Internet topology provides insight into international relationships from the perspective of the digital infrastructure layer. The Social Media Density Network. is constructed from aggregated digital communication data from the Mesh of Civilizations project, where Twitter and Yahoo email data is combined to produce an openly available density measure of the strength of digital communication between nations [17]. This measure is normalised by the population of Internet users in each country and thus is well aligned with the rest of the networks we use. It also blends data from two distinct sources and thus provides greater independence from service bias. Because the study considers tie strength, it only includes bi-directed edges in the two platforms where there has been a reciprocal exchange of information and therefore this RDX5791 msds Network is undirected.PLOS ONE | DOI:10.1371/journal.pone.0155976 June 1,7 /The International Postal Network and Other Global Flows as Proxies for National WellbeingFig 4. Matrix of the intensity of connections between countries based on the number of items exchanged (higher is darker); axes are ordered by the country’s unweighted postal degree (its number of postal partners); only countries with more than 120 postal partners appear for display purposes. doi:10.1371/journal.pone.0155976.gPLOS ONE | DOI:10.1371/journal.pone.0155976 June 1,8 /The International Postal Network and Other Global Flows as Proxies for National WellbeingFig 5. International Postal Network degree distributions. doi:10.1371/journal.pone.0155976.gIn the following analysis we compare these networks and use multiplexity theory to extract knowledge about the strength of connectivity across them. We will distinguish between single layer and multiplex measures, which will allow us to observe to a deeper extent the international relationships and the potential for using global flow networks to estimate the wellbeing of countries in terms of a number of socioeconomic indicators (summarised in Table 1).ResultsIn order to understand the multiplex relationships of countries through flows of information and goods in context, we first compare all flow networks. We then present their respective and collective ability to approximate crucial socioeconomic indicators and finally perform a network community analysis of individual networks and their multiplex communities where the most socioeconomically similar countries can be found.Comparing networksAlthough each of the five networks previously described apart from the International Postal Network (IPN) has been studied separately, there has not been a comparative a.Tables detail, for all commercial passenger and freight flights, country of origin and destination and the number of flights between them. [11]. The IP Traceroute Network. This city to city geocoded dataset is built from traceroutes in the form of directed IP to IP edges collected in a crowdsourced fashion by volunteers through the DIMES Project. The project relies on data from volunteers who have installed the measurement software which collects origin, destination and number of IP level edges which were discovered daily. We aggregate this data on a country to country basis and use it to construct an undirected Internet topology network, weighted by the number of IPs discovered and normalised by population as all other networks. The data collection methods are described in detail in the founding paper of the project [39]. The global mapping of the Internet topology provides insight into international relationships from the perspective of the digital infrastructure layer. The Social Media Density Network. is constructed from aggregated digital communication data from the Mesh of Civilizations project, where Twitter and Yahoo email data is combined to produce an openly available density measure of the strength of digital communication between nations [17]. This measure is normalised by the population of Internet users in each country and thus is well aligned with the rest of the networks we use. It also blends data from two distinct sources and thus provides greater independence from service bias. Because the study considers tie strength, it only includes bi-directed edges in the two platforms where there has been a reciprocal exchange of information and therefore this network is undirected.PLOS ONE | DOI:10.1371/journal.pone.0155976 June 1,7 /The International Postal Network and Other Global Flows as Proxies for National WellbeingFig 4. Matrix of the intensity of connections between countries based on the number of items exchanged (higher is darker); axes are ordered by the country’s unweighted postal degree (its number of postal partners); only countries with more than 120 postal partners appear for display purposes. doi:10.1371/journal.pone.0155976.gPLOS ONE | DOI:10.1371/journal.pone.0155976 June 1,8 /The International Postal Network and Other Global Flows as Proxies for National WellbeingFig 5. International Postal Network degree distributions. doi:10.1371/journal.pone.0155976.gIn the following analysis we compare these networks and use multiplexity theory to extract knowledge about the strength of connectivity across them. We will distinguish between single layer and multiplex measures, which will allow us to observe to a deeper extent the international relationships and the potential for using global flow networks to estimate the wellbeing of countries in terms of a number of socioeconomic indicators (summarised in Table 1).ResultsIn order to understand the multiplex relationships of countries through flows of information and goods in context, we first compare all flow networks. We then present their respective and collective ability to approximate crucial socioeconomic indicators and finally perform a network community analysis of individual networks and their multiplex communities where the most socioeconomically similar countries can be found.Comparing networksAlthough each of the five networks previously described apart from the International Postal Network (IPN) has been studied separately, there has not been a comparative a.
