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Volumn 66, Issue 3, 2002, Pages

Statistical properties and attack tolerance of growing networks with algebraic preferential attachment

Author keywords

[No Author keywords available]

Indexed keywords

CHOLESTRIC PHASE; LINEAR DEFECTS; PARTICLE STABILIZATION; RUBBER ELASTICITY;

EID: 37649032456     PISSN: 1063651X     EISSN: None     Source Type: Journal    
DOI: 10.1103/PhysRevE.66.036112     Document Type: Article
Times cited : (46)

References (31)
  • 12
    • 85036333902 scopus 로고    scopus 로고
    • cond-mat/006132
    • A. Vázquez, e-print cond-mat/006132; e-print
    • Vázquez, A.1
  • 13
    • 85036273133 scopus 로고    scopus 로고
    • cond-mat/0105031
    • A. Vázquezcond-mat/0105031.
    • Vázquez, A.1
  • 24
    • 85036183198 scopus 로고    scopus 로고
    • cond-mat/0104029
    • B. Tadiće-print cond-mat/0104029 (2001).
    • (2001)
    • Tadić, B.1
  • 27
    • 85036432594 scopus 로고    scopus 로고
    • Another class of attachment rules that can generate networks with mixture of random and scale-free characteristics has recently been studied [Z. Liu, Y.-C. Lai, N. Ye, and P. Dasgupta, (unpublished)]. The model assumes that the attachment probability contains both a perferential and a random components, with a physical parameter controlling the relative weights between these components
    • Another class of attachment rules that can generate networks with mixture of random and scale-free characteristics has recently been studied [Z. Liu, Y.-C. Lai, N. Ye, and P. Dasgupta, (unpublished)]. The model assumes that the attachment probability contains both a perferential and a random components, with a physical parameter controlling the relative weights between these components.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.