메뉴 건너뛰기




Volumn , Issue , 2010, Pages 329-336

Classifying complex networks using unbiased local assortativity

Author keywords

[No Author keywords available]

Indexed keywords

REAL-WORLD NETWORKS;

EID: 84862764559     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (24)

References (31)
  • 4
    • 0033539175 scopus 로고    scopus 로고
    • Diameter of the world-wide web
    • Albert, R., Jeong, H., and Barabasi, A.-L. (1999). Diameter of the world-wide web. Nature, 401: 130-131.
    • (1999) Nature , vol.401 , pp. 130-131
    • Albert, R.1    Jeong, H.2    Barabasi, A.-L.3
  • 5
    • 0036013593 scopus 로고    scopus 로고
    • Statistical mechanics of complex networks
    • Albert, T. R. and Barabasi, A.-L. (2002). Statistical mechanics of complex networks. Rev. Mod. Phys., 74: 47-97.
    • (2002) Rev. Mod. Phys. , vol.74 , pp. 47-97
    • Albert, T.R.1    Barabasi, A.-L.2
  • 7
    • 34547909602 scopus 로고    scopus 로고
    • Assortative mixing in protein contact networks and protein folding kinetics
    • Bagler, G. and Sinha, S. (2007). Assortative mixing in protein contact networks and protein folding kinetics. Bioinformatics, 23(14): 1760-1767.
    • (2007) Bioinformatics , vol.23 , Issue.14 , pp. 1760-1767
    • Bagler, G.1    Sinha, S.2
  • 13
    • 0037012880 scopus 로고    scopus 로고
    • Specificity and stability in topology of protein networks
    • Maslov, S. and Sneppen, K. (2002). Specificity and stability in topology of protein networks. Science, 296(5569): 910-913.
    • (2002) Science , vol.296 , Issue.5569 , pp. 910-913
    • Maslov, S.1    Sneppen, K.2
  • 14
    • 18744389789 scopus 로고    scopus 로고
    • Assortative mixing in networks
    • Newman, M. E. (2002). Assortative mixing in networks. Phys Rev Lett, 89(20):208701.
    • (2002) Phys Rev Lett , vol.89 , Issue.20 , pp. 208701
    • Newman, M.E.1
  • 15
    • 0038752085 scopus 로고    scopus 로고
    • Mixing patterns in networks
    • Newman, M. E. (2003). Mixing patterns in networks. Phys Rev E, 67(2):026126.
    • (2003) Phys Rev E , vol.67 , Issue.2 , pp. 026126
    • Newman, M.E.1
  • 20
    • 66949136741 scopus 로고    scopus 로고
    • As-sortativeness and information in scale-free networks
    • Piraveenan, M., Prokopenko, M., and Zomaya, A. Y. (2009a). As-sortativeness and information in scale-free networks. European Physical Journal B, 67(3): 291-300.
    • (2009) European Physical Journal B , vol.67 , Issue.3 , pp. 291-300
    • Piraveenan, M.1    Prokopenko, M.2    Zomaya, A.Y.3
  • 22
    • 79051468889 scopus 로고    scopus 로고
    • Local assortativeness in scale-free networks - Addendum
    • Piraveenan, M., Prokopenko, M., and Zomaya, A. Y. (2010). Local assortativeness in scale-free networks - addendum. Euro-physics Letters, 89(4):49901.
    • (2010) Euro-physics Letters , vol.89 , Issue.4 , pp. 49901
    • Piraveenan, M.1    Prokopenko, M.2    Zomaya, A.Y.3
  • 23
    • 70349629569 scopus 로고    scopus 로고
    • An information-theoretic primer on complexity, self-organization, and emergence
    • Prokopenko, M., Boschetti, F., and Ryan, A. J. (2009). An information-theoretic primer on complexity, self-organization, and emergence. Complexity, 15(1): 11-28.
    • (2009) Complexity , vol.15 , Issue.1 , pp. 11-28
    • Prokopenko, M.1    Boschetti, F.2    Ryan, A.J.3
  • 24
    • 34047202181 scopus 로고    scopus 로고
    • Deciphering protein-protein interactions. Part I. Experimental techniques and databases
    • Shoemaker, B. A. and Panchenko, A. R. (2007a). Deciphering protein-protein interactions. part I. experimental techniques and databases. PLoS computational biology, 3(3):e42+.
    • (2007) PLoS Computational Biology , vol.3 , Issue.3
    • Shoemaker, B.A.1    Panchenko, A.R.2
  • 25
    • 34247586171 scopus 로고    scopus 로고
    • Deciphering protein-protein interactions. Part II. Computational methods to predict protein and domain interaction partners
    • Shoemaker, B. A. and Panchenko, A. R. (2007b). Deciphering protein-protein interactions. part II. computational methods to predict protein and domain interaction partners. PLoS computational biology, 3(4):e43+.
    • (2007) PLoS Computational Biology , vol.3 , Issue.4
    • Shoemaker, B.A.1    Panchenko, A.R.2
  • 26
    • 33644851967 scopus 로고    scopus 로고
    • Information theory of complex networks: On evolution and architectural constraints
    • Ben-Naim, E., Frauenfelder, H., and Toroczkai, Z., editors Springer
    • Solé, R. V. and Valverde, S. (2004). Information theory of complex networks: on evolution and architectural constraints. In Ben-Naim, E., Frauenfelder, H., and Toroczkai, Z., editors, Complex Networks, volume 650 of Lecture Notes in Physics. Springer.
    • (2004) Complex Networks, Volume 650 of Lecture Notes in Physics
    • Solé, R.V.1    Valverde, S.2
  • 28
    • 0028146781 scopus 로고
    • Stoichiometric flux balance models quantitatively predict growth and metabolic byproduct secretion in wild-type escherichia coli w3110
    • Varma, A. and Palsson, B. O. (1994). Stoichiometric flux balance models quantitatively predict growth and metabolic byproduct secretion in wild-type escherichia coli w3110. Applied and Environmental Microbiology, 60(10): 3724-3731.
    • (1994) Applied and Environmental Microbiology , vol.60 , Issue.10 , pp. 3724-3731
    • Varma, A.1    Palsson, B.O.2
  • 29
    • 42749098473 scopus 로고    scopus 로고
    • Growing network with local rules: Preferential attachment, clustering hierarchy, and degree correlations
    • Vázquez, A. (2003). Growing network with local rules: Preferential attachment, clustering hierarchy, and degree correlations. Physical Review E, 67(5):056104.
    • (2003) Physical Review E , vol.67 , Issue.5 , pp. 056104
    • Vázquez, A.1
  • 31
    • 1942488295 scopus 로고    scopus 로고
    • The rich-club phenomenon in the internet topology
    • Zhou, S. and Mondragón, R. J. (2004). The rich-club phenomenon in the internet topology. IEEE Comm. Lett., 8: 180-182.
    • (2004) IEEE Comm. Lett. , vol.8 , pp. 180-182
    • Zhou, S.1    Mondragón, R.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.