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Volumn 219, Issue , 2017, Pages 303-312

Optimized Gillespie algorithms for the simulation of Markovian epidemic processes on large and heterogeneous networks

Author keywords

Complex networks; Gillespie algorithm; Markovian epidemic processes

Indexed keywords

EPIDEMIOLOGY; GENETIC ALGORITHMS; HETEROGENEOUS NETWORKS;

EID: 85021823480     PISSN: 00104655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cpc.2017.06.007     Document Type: Article
Times cited : (84)

References (51)
  • 1
    • 77954826067 scopus 로고    scopus 로고
    • Oxford University Press, Inc. New York, NY, USA
    • Newman, M., Networks: An Introduction, 2010, Oxford University Press, Inc., New York, NY, USA.
    • (2010) Networks: An Introduction
    • Newman, M.1
  • 34
    • 85025469735 scopus 로고    scopus 로고
    • The codes are freely available at
    • The codes are freely available at https://github.com/wcota/dynSIS.
  • 44
    • 85025462904 scopus 로고    scopus 로고
    • See
    • See https://gcc.gnu.org/fortran/.
  • 45
    • 85025473531 scopus 로고    scopus 로고
    • See
    • See https://software.intel.com/en-us/fortran-compilers.
  • 46
    • 85025480821 scopus 로고    scopus 로고
    • See
    • See https://www.python.org/downloads/release/python-360/.
  • 49
    • 84885086877 scopus 로고    scopus 로고
    • Ódor, G., Phys. Rev. E, 88(3), 2013, 032109.
    • (2013) Phys. Rev. E , vol.88 , Issue.3 , pp. 032109
    • Ódor, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.