Abstract By applying network analysis techniques to large input–output system, we identify key sectors in the local/regional economy. We overcome limitations of traditional measures centrality by using random-walk based measures, as an extension Blöchl et al. (Phys Rev E 83(4):046127, 2011). These are more appropriate analyze very dense networks, i.e. those which most nodes connected all other ...

The use of location quotients for the estimation regional input–output tables has been found to be a useful and efficient tool estimate intraregional production coefficients multipliers. This paper considers some regionalisation methodologies based on tables—some which have hitherto not analysed at level—and studies one provides best (best goodness fit). We focus analysis mainly accuracy Flegg’...

This paper seeks to determine the leading sectors of economy North-East region Brazil based on input-output matrix methodology and economic structure 2011. For that purpose, regional was updated from 2004 2011 and, subsequently, Rasmussen-Hirschman linkage indices, field influence pure indices were calculated, along with type I II multipliers production, employment income. The results confirm i...

(1) f = det(xM1 + yM2 + zM3), where M1,M2,M3 are Hermitian d × d matrices. The representation is definite if there is a point e ∈ R for which the matrix e1M1+e2M2+e3M3 is positive definite. This imposes an immediate condition on the projective curve VC(f). Because the eigenvalues of a Hermitian matrix are real, every real line passing through e meets this hypersurface in only real points. A pol...

A novel load pull methodology to characterize the performance of class-E outphasing power amplifiers is presented. The traditional analysis of the outphasing topology cannot be applied when classE amplifiers are used because these amplifiers do not behave as an ideal current or voltage source. Unlike most other amplifier classes, class-E amplifiers require a phase modulated input signal with co...

The paper deals with a modification of a Sparse distributed memory that uses some features of a Restricted coulomb energy classifier. The basic principle, topology, data storing and retrieving and one practical application of this net, including special input and output data encodings, are described.