Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Nastaran Lotfi"'
Publikováno v:
Methods in Ecology and Evolution, Vol 15, Iss 1, Pp 204-213 (2024)
Abstract Since its inception, the keystone species concept has become a central theoretical framework in ecology. Among many approaches, keystones have been operationalized in natural and human environments using centrality metrics applied to monolay
Externí odkaz:
https://doaj.org/article/efdaad4291fc446ea237084afd03e3ba
Autor:
Nastaran Lotfi
Publikováno v:
Acta Geophysica. 71:1111-1117
Autor:
Nastaran Lotfi, Francisco A. Rodrigues
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Game theory is fundamental to understanding cooperation between agents. Mainly, the Prisoner's Dilemma is a well-known model that has been extensively studied in complex networks. However, although the emergence of cooperation has been investigated b
Autor:
Mauro Copelli, Tawan T. A. Carvalho, Thais P. L. Silva, Thaís Feliciano, Pedro V. Carelli, Leandro A. A. Aguiar, Nastaran Lotfi, Osvaldo A. Rosso, Fernanda S. Matias
Complex systems are typically characterized as an intermediate situation between a complete regular structure and a random system. Brain signals can be studied as a striking example of such systems: cortical states can range from highly synchronous a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b8330a0c552c823f8c3958860b68889
http://arxiv.org/abs/2010.04123
http://arxiv.org/abs/2010.04123
Autor:
Leili Tapak, Mohammad Reza Ay, Nastaran Lotfi, Mohammad Pooyan, Neda Mohammadi-Mobarakeh, Mohammad-Reza Nazem-Zadeh, Alireza Fallahi, Jafar Mehvari-Habibabadi, Fatemeh Baniasad, Seyed Sohrab Hashemi-Fesharaki
Publikováno v:
Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology. 42(6)
Functional magnetic resonance imaging (fMRI) in resting state can be used to evaluate the functional organization of the human brain in the absence of any task or stimulus. The functional connectivity (FC) has non-stationary nature and consented to b
Publikováno v:
Chaos (Woodbury, N.Y.). 30(4)
Studying natural phenomena via the complex network approach makes it possible to quantify the time-evolving structures with too many elements and achieve a deeper understanding of interactions among the components of a system. In this sense, solar fl
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 471:80-87
Here we try to show that the main statistical features of earthquake phenomena in any region can be retrieved from the associated earthquakes network. In the first attempt we draw out the Gutenberg–Richter law from the Abe–Suzuki model for the ea
Autor:
Amir H. Darooneh, Nastaran Lotfi
Publikováno v:
International Journal of Modern Physics C. 31:2050069
Synchronization is getting high attention in different fields specially in complex network area in the recent years. One of its new aspects is Chimera state in which some groups of oscillators are synchronized while the others are in the incoherent s
Autor:
Renata L. Muylaert, Francisco A. Rodrigues, Rafael Barros Pereira Pinheiro, Gabriel M. F. Felix, Marco Tschapka, Nastaran Lotfi, Richard D. Stevens, Sharlene E. Santana, Cullen Geiselman, Marco A. R. Mello
Introductory paragraphHow are ecological systems assembled? Here, we aim to contribute to answering this question by harnessing the framework of a novel integrative hypothesis. We shed light on the assembly rules of a multilayer network formed by fru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba89dfc42e3e268103b3783765369f65
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
In this paper, we analyze explosive synchronization in networks with a community structure. The results of our study indicate that the mesoscopic structure of the networks could affect the synchronization of coupled oscillators. With the variation of