In this section
@article{Viegas:2020:10.3390/e22020206,
author = {Viegas, E and Goto, H and Kobayashi, Y and Takayasu, M and Takayasu, H and Jensen, HJ},
doi = {10.3390/e22020206},
journal = {Entropy: international and interdisciplinary journal of entropy and information studies},
pages = {1--14},
title = {Allometric scaling of mutual information in complex networks: a conceptual framework and empirical approach},
url = {http://dx.doi.org/10.3390/e22020206},
volume = {22},
year = {2020}
}
TY - JOUR
AB - Complexity and information theory are two very valuable but distinct fields of research, yet sharing the same roots. Here, we develop a complexity framework inspired by the allometric scaling laws of living biological systems in order to evaluate the structural features of networks. This is done by aligning the fundamental building blocks of information theory (entropy and mutual information) with the core concepts in network science such as the preferential attachment and degree correlations. In doing so, we are able to articulate the meaning and significance of mutual information as a comparative analysis tool for network activity. When adapting and applying the framework to the specific context of the business ecosystem of Japanese firms, we are able to highlight the key structural differences and efficiency levels of the economic activities within each prefecture in Japan. Moreover, we propose a method to quantify the distance of an economic system to its efficient free market configuration by distinguishing and quantifying two particular types of mutual information, total and structural.
AU - Viegas,E
AU - Goto,H
AU - Kobayashi,Y
AU - Takayasu,M
AU - Takayasu,H
AU - Jensen,HJ
DO - 10.3390/e22020206
EP - 14
PY - 2020///
SN - 1099-4300
SP - 1
TI - Allometric scaling of mutual information in complex networks: a conceptual framework and empirical approach
T2 - Entropy: international and interdisciplinary journal of entropy and information studies
UR - http://dx.doi.org/10.3390/e22020206
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000521371400104&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - http://hdl.handle.net/10044/1/85294
VL - 22
ER -