... the complex and nonlinear interactions between climate inputs and landscape characteristics over a wide range of spatial and temporal ...of networks, in particular complexnetworks, to exam- ...
... directed complexnetworks with time ...undirected networks, the coupling configuration matrix of directed networks cannot be assumed as symmetric or ...
... to complex systems that elude naïve and casuistic tools for understand these ...using complex systems tools, notably complexnetworks theory and tools, can contribute to Performance ...of ...
... Due to the importance of clustering in the complexnetworks, we must explore the process of link clustering in the networks carefully. Since links tend to cluster in the communities, it provides ...
... measures of proximity among units different from their distances [13–15]. However, to justify the usage of any of these alternative parameters is difficult. A few years ago, we devised a valid strategy to solve the ties ...
... delay complexnetworks structure or system parameters ...uncertain complexnetworks with time delay [31, ...unknown complexnetworks with time delay, ...unknown complex ...
... Various types of complexnetworks such as World Wide Web, citations and maps can be mapped on to Bose gas. In this paper it is shown that the neural network involved in consciousness can be mapped on to a ...
... the complexnetworks. Here, Parrondo’s model based on complexnetworks is proposed, and a structure of game B applied in arbitrary topologies is ...scale-free networks to show that the ...
... Feldhoff JH, Lange S, Volkholz J, Donges JF, Kurths J, Gerstengarbe FW (2014) Complex networks for climate model evaluation with application to statistical versus dynamical model- ing of[r] ...
... In recent years, graph theory has been widely employed to probe several language proper- ties. More specifically, the so-called word adjacency model has been proven useful for tack- ling several practical problems, ...
... of networks, an example being how neuronal activity depends on specific types of connec- tivity between neurons (Costa and Sporns, ...of complexnetworks research in the brief period since the ...
... This complex network strategy is important in WSNs be- cause a high cluster coefficient avoids the data delivery delay and unnecessary energy consumption by concentrating the data sensing in a given hub ...
... on complex systems defined by networks that can be expressed as interconnected matrices of ...biochemical networks, providing a glimpse of the applications that NEXCADE can be used ...in ...
... on networks that are regular, simple, small, and ...real networks, as such networks are of- ten highly irregular, complex, large, and dynamically evolving in ...
... If we were to discover that the ideal task would be achieved with the fraction 2.56E − 3, that would be 8 tasks after the initial one and if we were to split those across the available c[r] ...
... and group behavior [11], efficacy of viral product recommenda- tion [16], global properties of email messages [34,19], blog posts [18] as well as the identification of influential blogs [10,18]. Many of these studies did ...
... of complex phenomena and they have been studied independently in many different fields such as mathematics, neuroscience, biology, epidemiology, sociology, social-psychology and ...of networks as a field by ...
... The complexnetworks have been gaining increasing research attention because of their potential applications in many real-world systems from a variety of fields such as biology, social systems, linguistic ...
... emergent networks we used graph theory methods [26] and small-world networks analyses ...the ComplexNetworks Analysis Package ...random networks have a symmetrically-centered Gaussian ...