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S. Strogatz (2001)
Exploring complex networksNature, 410
D. Watts, S. Strogatz (1998)
Collective dynamics of ‘small-world’ networksNature, 393
M. Gagen, J. Mattick (2005)
Accelerating, hyperaccelerating, and decelerating networks.Physical review. E, Statistical, nonlinear, and soft matter physics, 72 1 Pt 2
J. Mattick, M. Gagen (2005)
Accelerating NetworksScience, 307
W. Bing (2006)
A weighted complex network model driven by traffic flowPhysics
M. Newman, Cristopher Moore, D. Watts (1999)
Mean-field solution of the small-world network model.Physical review letters, 84 14
D. Watts (2004)
The “New” Science of NetworksReview of Sociology, 30
P. Sen (2003)
Accelerated growth in outgoing links in evolving networks: deterministic versus stochastic picture.Physical review. E, Statistical, nonlinear, and soft matter physics, 69 4 Pt 2
J. Losco (1999)
Consilience: The Unity of KnowledgePolitics and the Life Sciences, 18
M. Newman (2000)
The structure of scientific collaboration networks.Proceedings of the National Academy of Sciences of the United States of America, 98 2
J. Laherrère, D. Sornette (1998)
Stretched exponential distributions in nature and economy: “fat tails” with characteristic scalesThe European Physical Journal B - Condensed Matter and Complex Systems, 2
A. Barrat, M. Barthelemy, Alessandro Vespignani (2004)
Weighted evolving networks: coupling topology and weight dynamics.Physical review letters, 92 22
Bi Qiao, Fang Jin-qing, Liang Yong (2007)
Advances in theoretical models of network scienceFrontiers of Physics in China, 2
S. Yook, Hawoong Jeong, A. Barabási, Y. Tu (2001)
Weighted evolving networks.Physical review letters, 86 25
Ginestra Bianconi, A. Barabási (2000)
Competition and multiscaling in evolving networksEPL (Europhysics Letters), 54
Jin-Qing Fang, Liang Yong (2005)
Topological Properties and Transition Features Generated by a New Hybrid Preferential ModelChinese Physics Letters, 22
M. Newman, M. Newman (2002)
Assortative mixing in networks.Physical review letters, 89 20
Liang Yong, Fang Jin-qing, Liu Qiang, Liang Yong (2006)
Small World Properties Generated by a New Algorithm Under Same Degree of All NodesCommunications in Theoretical Physics, 45
S. Dorogovtsev, J.F.F. Mendes (2000)
Evolution of networks with aging of sitesPhysical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics, 62 2 Pt A
X. Lu, Xiaofan Wang, Jin-Qing Fang (2006)
Topological transition features and synchronizability of a weighted hybrid preferential networkPhysica A-statistical Mechanics and Its Applications, 371
S. Dorogovtsev, J. Mendes (2003)
Evolution of Networks: From Biological Nets to the Internet and WWW (Physics)
Jin-Qing Fang, Qiao Bi, Yong Li, X. Lu, Qiang Liu (2007)
A harmonious unifying hybrid preferential model and its universal properties for complex dynamical networksScience in China Series G: Physics, Mechanics and Astronomy, 50
T. Antal, P. Krapivsky (2004)
Weight-driven growing networks.Physical review. E, Statistical, nonlinear, and soft matter physics, 71 2 Pt 2
J. Kleinberg (2000)
Navigation in a small worldNature, 406
S. Boccaletti, V. Latora, Y. Moreno, M. Chavez, D. Hwang (2006)
Complex networks: Structure and dynamicsPhysics Reports, 424
B. Bollobás (1984)
The evolution of random graphsTransactions of the American Mathematical Society, 286
T. Evans (2004)
Complex networksContemporary Physics, 45
A. Barrat, M. Barthelemy, R. Pastor-Satorras, Alessandro Vespignani (2003)
The architecture of complex weighted networks.Proceedings of the National Academy of Sciences of the United States of America, 101 11
R. Albert, A. Barabási (2001)
Statistical mechanics of complex networksArXiv, cond-mat/0106096
Linbo Xiang (2007)
NEW INTERDISCIPLINARY SCIENCE:NETWORK SCIENCE(I)Progress in Physics
Liang Yong (2008)
ADVANCES IN UNIFIED HYBRID THEORETICAL MODEL OF NETWORK SCIENCEAdvances in Mechanics
Fan Jinqing (2008)
Investigating High-Tech Networks with Four Levels from Developing Viewpoint of Network ScienceWorld Sci-tech R & D
D. Zheng, S. Trimper, B. Zheng, B. Zheng, P. Hui (2003)
Weighted scale-free networks with stochastic weight assignments.Physical review. E, Statistical, nonlinear, and soft matter physics, 67 4 Pt 1
D. Lancaster (2002)
Cluster growth in two growing network modelsJournal of Physics A: Mathematical and General, 35
Fang Jin-qing, Bi Qiao, Liang Yong, L. Xin-biao, Liu Qiang (2007)
Sensitivity of Exponents of Three-Power Laws to Hybrid Ratio in Weighted HUHPMChinese Physics Letters, 24
B. McInnes, Jannene McBride, N. Evans, David Lambert, A. Andrew (1999)
Emergence of Scaling in Random Networks
A network complexity pyramid with five levels is suggest and summarised. From the top level-5 to the bottom level-1 complexity and diversity are increasing but universality and simplicity are decreasing. They can be described in an unification form by four hybrid ratios.
International Journal of Systems, Control and Communications – Inderscience Publishers
Published: Jan 1, 2009
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