Network structures can be found in almost any kind of natural or artificial systems as transport medium for communication between the respective nodes. In this paper we study certain key topological features of brain functional networks obtained from functional magnetic resonance imaging (fMRI) measurements. We compare complex network measures of the extracted topologies with those from Internet service providers (ISPs). Our goal is to identify important features which will be helpful in designing more robust and adaptive future information network architectures.
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Kenji LEIBNITZ, Tetsuya SHIMOKAWA, Hiroaki UMEHARA, Tsutomu MURATA, "Topological Comparison of Brain Functional Networks and Internet Service Providers" in IEICE TRANSACTIONS on Communications,
vol. E95-B, no. 5, pp. 1539-1546, May 2012, doi: 10.1587/transcom.E95.B.1539.
Abstract: Network structures can be found in almost any kind of natural or artificial systems as transport medium for communication between the respective nodes. In this paper we study certain key topological features of brain functional networks obtained from functional magnetic resonance imaging (fMRI) measurements. We compare complex network measures of the extracted topologies with those from Internet service providers (ISPs). Our goal is to identify important features which will be helpful in designing more robust and adaptive future information network architectures.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E95.B.1539/_p
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@ARTICLE{e95-b_5_1539,
author={Kenji LEIBNITZ, Tetsuya SHIMOKAWA, Hiroaki UMEHARA, Tsutomu MURATA, },
journal={IEICE TRANSACTIONS on Communications},
title={Topological Comparison of Brain Functional Networks and Internet Service Providers},
year={2012},
volume={E95-B},
number={5},
pages={1539-1546},
abstract={Network structures can be found in almost any kind of natural or artificial systems as transport medium for communication between the respective nodes. In this paper we study certain key topological features of brain functional networks obtained from functional magnetic resonance imaging (fMRI) measurements. We compare complex network measures of the extracted topologies with those from Internet service providers (ISPs). Our goal is to identify important features which will be helpful in designing more robust and adaptive future information network architectures.},
keywords={},
doi={10.1587/transcom.E95.B.1539},
ISSN={1745-1345},
month={May},}
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TY - JOUR
TI - Topological Comparison of Brain Functional Networks and Internet Service Providers
T2 - IEICE TRANSACTIONS on Communications
SP - 1539
EP - 1546
AU - Kenji LEIBNITZ
AU - Tetsuya SHIMOKAWA
AU - Hiroaki UMEHARA
AU - Tsutomu MURATA
PY - 2012
DO - 10.1587/transcom.E95.B.1539
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E95-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2012
AB - Network structures can be found in almost any kind of natural or artificial systems as transport medium for communication between the respective nodes. In this paper we study certain key topological features of brain functional networks obtained from functional magnetic resonance imaging (fMRI) measurements. We compare complex network measures of the extracted topologies with those from Internet service providers (ISPs). Our goal is to identify important features which will be helpful in designing more robust and adaptive future information network architectures.
ER -