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Chin. Phys. B, 2012, Vol. 21(2): 028902    DOI: 10.1088/1674-1056/21/2/028902
INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY Prev   Next  

Evaluating the AS-level Internet models: beyond topological characteristics

Fan Zheng-Ping(范正平)
Department of Automation, Sun Yat-Sen University, Guangzhou 510275, China
Abstract  A surge number of models has been proposed to model the Internet in the past decades. However, the issue on which models are better to model the Internet has still remained a problem. By analysing the evolving dynamics of the Internet, we suggest that at the autonomous system (AS) level, a suitable Internet model, should at least be heterogeneous and have a linearly growing mechanism. More importantly, we show that the roles of topological characteristics in evaluating and differentiating Internet models are apparently over-estimated from an engineering perspective. Also, we find that an assortative network is not necessarily more robust than a disassortative network and that a smaller average shortest path length does not necessarily mean a higher robustness, which is different from the previous observations. Our analytic results are helpful not only for the Internet, but also for other general complex networks.
Keywords:  AS-level Internet      scale-free model      robustness  
Received:  16 August 2011      Revised:  31 August 2011      Accepted manuscript online: 
PACS:  89.20.Hh (World Wide Web, Internet)  
  05.70.Ln (Nonequilibrium and irreversible thermodynamics)  
  87.23.Ge (Dynamics of social systems)  
Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 60704045 and 60804012) and the Fundamental Research Funds for the Central Universities (Grant No. 09Lgpy57).
Corresponding Authors:  Fan Zheng-Ping,fanzhp@mail.sysu.edu.cn     E-mail:  fanzhp@mail.sysu.edu.cn

Cite this article: 

Fan Zheng-Ping(范正平) Evaluating the AS-level Internet models: beyond topological characteristics 2012 Chin. Phys. B 21 028902

[1] Adamic L A, Lukose R, Puniyani A and Huberman B A 2001 Phys. Rev. E 64 046135
[2] Li Y, Cao H D, Shan X M, Ren Y and Yuan J 2009 Chin. Phys. B 18 1721
[3] Liu Y L, Zhu J and Luo X S 2009 Chin. Phys. B 18 3772
[4] Ding D W, Zhu J and Luo X S 2008 Chin. Phys. B 17 105
[5] Goh K I, Kahng B and Kim D 2002 Phys. Rev. Lett. 88 108701
[6] Tangmunarunkit H, Govindan R, Jamin S, Shenker S and Willinger W 2002 ACM Comput. Commun. Rev. 32 147
[7] Serrano M, Boguna M and Diaz-Guilera A 2005 Phys. Rev. Lett. 94 038701
[8] Zhou S 2006 Phys. Rev. E 74 016124
[9] Piraveenan M, Prokopenko M and Zomaya A Y 2009 Eur. Phys. J. B 70 275
[10] Wang X and Loguinov D 2010 IEEE Trans. Networking 18 257
[11] Oliveira R, Pei D, Willinger W, Zhang B and Zhang L 2010 IEEE Trans. Networking 18 109
[12] Zhang G Q, Quoitin B and Zhou S 2011 Comput. Commun. 34 649
[13] Trajkovic L J 2010 IEEE Circ. Sys. Mag. 10 48
[14] Clegg R G, Cairano-Gilfedder C D and Zhou S 2010 Comput. Commun. 33 259
[15] Dhamdhere A and Dovrolis C 2011 IEEE Trans. Networking 19 1420
[16] Zhang L M, Deng X H, Yu J P and Wu X S 2011 Chin. Phys. B 20 048902
[17] Zhou S Y, Wang K, Zhang Y F, Pei W J, Pu C L and Li W 2011 Chin. Phys. B 20 080501
[18] Barabasi A L and Albert R 1999 Science 286 509
[19] Albert R and Barabasi A L 2000 Phys. Rev. Lett. 85 5234
[20] Bianconi C and Barabasi A L 2001 Europhys. Lett. 54 436
[21] Fan Z P, Chen G R and Zhang Y N 2009 Phys. Lett. A 373 1601
[22] Ayyoub M A and Gupta H 2010 IEEE Trans. Mobile Computing 9 553
[23] Newman M E J 2002 Phys. Rev. Lett. 89 208701
[24] Beygelzimer A, Grinstein G, Linsker R and Rish I 2006 Phys. Lett. A 357 593
[25] Rodrigues F A, Costa L D F and Barbieri A L 2011 Mol. BioSyst. 7 1263
[26] Alderson D L and Li L 2007 Phys. Rev. E 75 046102
[27] Berche B, Ferber C V, Holovatch T and Holovatch Y 2009 Eur. Phys. J. B 71 125
[28] Qu Z H, Wang P, Song C M and Qin Z G 2010 Chin. Phys. B 19 110504
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