Abstract
In this chapter we analyze the growth and formation of complex networks by coupling the network formation rules to the dynamical states of the elements of the system. As we have already mentioned, some mechanisms have been proposed for constructing complex scale-free networks similar to those observed in natural, social and technological systems from purely topological arguments (for instance, using a preferential attachment rule or any other rule available in the literature). As those works do not include information on the specific function or origin of the network, it is very difficult to discuss the origin of the observed networks on the basis of those models, hence motivating the question we are going to address. The fact that the existing approaches consider separately the two directions of the feedback loop between the function and form of a complex system demands for a new mechanism where the network grows coupled to the dynamical features of its components. Our aim here is to introduce for the first time an attempt in this direction, by linking the growth of the network to the dynamics taking place among its nodes.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
M. Newman, SIAM Review 45, 167 (2003).
S. Boccaletti, V. Latora, Y. Moreno, M. Chavez, and D. Hwang, Phys. Rep. 424, 175 (2006).
G. Bianconi and A. L. Barabási, Europhys. Lett. 54, 436 (2001).
G. Caldarelli, A. Capocci, P. D. L. Rios, and M. A. M. noz, Phys. Rev. Lett. 89, 258702 (2002).
A. Rapoport and A. M. Chammah, Prisoner’s Dilemma. (Univ. of Michigan Press, Ann Arbor, 1965).
K. Lindgren and M. Nordahl, Physica D 75, 292 (1994).
M. A. Nowak and R. M. May, Nature 359, 826 (1992).
F. C. Santos and J. M. Pacheco, Phys. Rev. Lett. 95, 098104 (2005).
H. Gintis, Game theory evolving. (Princeton University Press, Princeton, NJ, 2000).
C. Hauert and M. Doebeli, Nature 428, 643 (2004).
F. C. Santos, F. J. Rodrigues, and J. M. Pacheco, Proc. Biol. Sci. 273, 51 (2006).
J. Hofbauer and K. Sigmund, Evolutionary games and population dy- namics. (Cambridge University Press, Cambridge, UK, 1998).
J. Hofbauer and K. Sigmund, Bull. Am. Math. Soc. 40, 479 (2003).
J. Gómez-Gardeñes, M. Campillo, L. M. Floría, and Y. Moreno, Phys. Rev. Lett. 98, 108103 (2007).
M. Nowak, A. Sasaki, C. Taylor, and D. Fudenberg, Nature 428, 646 (2004).
M. Nowak, Science 314, 1560 (2006).
E. Lieberman, C. Hauert, and M. A. Nowak, Nature 433, 312 (2005).
A. Barabási and R. Albert, Science 286, 509 (1999).
F. C. Santos and J. M. Pacheco, J. Evol. Biol. 19, 726 (2006).
P. Erdos and A. Renyi, Publicationes Mathematicae Debrecen 6, 290 (1959).
F. C. Santos, J. M. Pacheco, and T. Lenaerts, Proc. Natl. Acad. Sci. USA 103, 3490 (2006).
S. Assenza, J. Gómez-Gardeñes, and V. Latora, Phys. Rev. E 78, 017101 (2008).
A. Pusch, S. Weber, and M. Porto, Phys. Rev. E 77, 036120 (2008).
L. M. Floría, C. Gracia-Lázaro, J. Gómez-Gardeñes, and Y. Moreno, Phys. Rev. E 79, 026106 (2009).
R. Axelrod, The complexity of cooperation: agent-based models of com- petition and collaboration. (Princeton University Press., Princeton, NJ, 1997).
M. Nowak, Evolutionary dynamics: exploring the equations of life. (Harvard University Press., Cambridge, MA, 2006).
M. Nowak and K. Sigmund, Games on Grids, in: The Geometry of Ecological Interactions. (Cambridge University Press, Cambridge, UK, 2000).
R. Axelrod and W. Hamilton, Science 211, 1390 (1981).
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Poncela Casasnovas, J. (2012). Complex Networks from Evolutionary Preferential Attachment. In: Evolutionary Games in Complex Topologies. Springer Theses. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30117-9_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-30117-9_7
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30116-2
Online ISBN: 978-3-642-30117-9
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)