Interdependence of Sectors of Economic Activities for World Countries from the Reduced Google Matrix Analysis of WTO Data

Abstract

We apply the recently developed reduced Google matrix algorithm for the analysis of the OECD-WTO World Network of Economic Activities. This approach allows to determine interdependencies and interactions of economy sectors of several countries, including China, Russia and the USA, properly taking into account the influence of all the other world countries and their economic activities. Within this analysis, we also obtain the sensitivity of EU countries’ economies to the petroleum activity sector. We show that this approach takes into account the multiplicity of economical interactions between countries and activity sectors, thus providing a richer analysis compared to the usual export-import analysis.

Fibrosis Protein-Protein Interactions from Google Matrix Analysis of MetaCore Network

“…However, our previous studies of other directed networks (Wikipedia networks, world trade networks, etc. [ 23 , 24 , 25 , 26 ]) allowed us to compare the predictions of the REGOMAX analysis with other studies performed by other scientific methods, confirming the obtained REGOMAX results and therefore showing the efficiency of this approach. On these grounds, we expect that our predictions for fibrosis will find their experimental confirmations.…”

“…Our REGOMAX-conjecture is that these newly discovered external proteins (which mostly affect the PageRank probabilities of internal nodes) will actually produce significant effects on the fibrosis process. We point out that such a conjecture has been well confirmed in different contexts for Wikipedia networks, world trade networks, and other networks [ 23 , 24 , 25 , 26 ]. However, this REGOMAX-conjecture for PPI networks is still to be verified experimentally.…”

“…Finally, we note that the validity of the REGOMAX algorithms has been confirmed for various directed networks: the world trade network from the United Nations COMTRADE and World Trade Organization databases [ 25 , 26 ], world influence and impact of infectious diseases and cancers from Wikipedia networks [ 23 , 24 ], and PPI SIGNOR networks [ 21 , 22 ]. Since the REGOMAX method is based on the generic and universal mathematical features of the concept of Markov chains and Google matrix, it can be applied to various fields of science involving directed networks.…”

“…The important feature of the REGOMAX algorithm is that it constructs the Google matrix of a selected subset of nodes (here, we have ) taking into account not only direct links between these nodes but also all indirect pathways connecting them via the global MetaCore network of much larger size N . The efficiency of the REGOMAX approach was demonstrated for various applications concerning the Wikipedia and world trade networks [ 23 , 24 , 25 , 26 ], and we also expect that this method will provide useful and new insights in the context of fibrosis protein–protein interactions using the MetaCore network.…”

Fibrosis protein-protein interactions from Google matrix analysis of MetaCore network

“…The important feature of the REGOMAX algorithm is that it constructs the Google matrix of a selected subset of nodes N r N (here we have N r = 54) taking into account not only direct links between these N r nodes but also all indirect pathways connecting them via the global MetaCore network of much larger size N. The efficiency the REGOMAX approach was demonstrated for various applications concerning the Wikipedia and world trade networks [18][19][20][21] and we also expect that this method will provide useful and new insights in the context of fibrosis protein-protein interactions using the MetaCore network.…”