In this work we take a dynamical approach to the evolution of complex networks using simulated output of the full system dynamic to direct evolution of the underlying network structure. Extending previous work, we study the problem of enhanced synchronisation and the generality of Type 2 features which have been shown to emerge in regimes where full synchronisation is unstable. Networks are evolved using a new computational tool called NetEvo which aims to minimise a dynamical order parameter performance measure. This process is performed for networks with several alternative node dynamics, showing in all cases that qualitatively similar Type 2 topologies emerge. Analysis of these structures highlights variation in many of the network statistics and motif frequencies, but helps to classify some key characteristics exhibited by all Type 2 networks, regardless of node dynamic.
A dynamical approach to the evolution of complex networks / T. E., Gorochowski; DI BERNARDO, Mario; C. S., Grierson. - STAMPA. - (2010), pp. 1083-1087. (Intervento presentato al convegno 19th International Symposium on Mathematical Theory of Networks and Systems (MTNS'10) tenutosi a Budapest nel 5-9 luglio 2010).
A dynamical approach to the evolution of complex networks
DI BERNARDO, MARIO;
2010
Abstract
In this work we take a dynamical approach to the evolution of complex networks using simulated output of the full system dynamic to direct evolution of the underlying network structure. Extending previous work, we study the problem of enhanced synchronisation and the generality of Type 2 features which have been shown to emerge in regimes where full synchronisation is unstable. Networks are evolved using a new computational tool called NetEvo which aims to minimise a dynamical order parameter performance measure. This process is performed for networks with several alternative node dynamics, showing in all cases that qualitatively similar Type 2 topologies emerge. Analysis of these structures highlights variation in many of the network statistics and motif frequencies, but helps to classify some key characteristics exhibited by all Type 2 networks, regardless of node dynamic.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
