Rezzy Eko Caraka, Putu Mahardika Adi Saputra, Nurrohman Wijaya, Muhammad Mujiya Ulkhaq, Muhammad Subair
This study mainly examines the statistical analysis of Postal Network Data (PND) and Trade Data within ASEAN countries and beyond. In addition, based on the previous study on the global network structure, including postal network, as proxies for national well-being, we also assess how the PND can affect the other recent socioeconomic indicators among ASEAN countries. This study aims to address the general question of whether structural network properties of different flow networks between ASEAN countries can be used to produce proxy indicators for the socioeconomic profile of a country. Moreover, we are using statistical analysis just like the correlation to measure the variables post from and post to data with life expectancy, CPI, mobile subscriber, Internet penetration, fixed phone, HDI, GDP and CO2 emission. After getting the correlation value. The next step we do partial least square (PLS) on the model we have built before. Just as getting 3 cluster component based on the data. Also, Matrix of the intensity connection is used to understand also compare the positions of countries within the different networks several socioeconomic indicators. © Published under licence by IOP Publishing Ltd.
School of Mathematical Sciences, Faculty of Science and Technology, National University of Malaysia, Malaysia; Department of Economics, University of Brawijaya, Indonesia; School of Architecture, Planning and Policy Development, Bandung Institute of Technology, Indonesia; Department of Industrial Engineering, Diponegoro University Indonesia, Indonesia; Pulse Lab Jakarta, Indonesia
