Complex Networks Unveiling Spatial Patterns in Turbulence
نویسندگان
چکیده
منابع مشابه
Unveiling causal activity of complex networks
We introduce a novel tool for analyzing complex network dynamics, allowing for cascades of causally-related events, which we call causal webs (c-webs), to be separated from other non-causally-related events. This tool shows that traditionally-conceived avalanches may contain mixtures of spatially-distinct but temporally-overlapping cascades of events, and dynamical disorder or noise. In contras...
متن کاملUnveiling the Relationship Between Structure and Dynamics in Complex Networks
Over the last years, a great deal of attention has been focused on complex networked systems, characterized by intricate structure and dynamics [1–6]. The latter has been often represented in terms of overall statistics (e.g. average and standard deviations) of the time signals [1]. While such approaches have led to many insights, they have failed to take into account that signals at different ...
متن کاملUnveiling the relationship between complex networks metrics and word senses
The automatic disambiguation of word senses (i.e., the identification of which of the meanings is used in a given context for a word that has multiple meanings) is essential for such applications as machine translation and information retrieval, and represents a key step for developing the so-called Semantic Web. Humans disambiguate words in a straightforward fashion, but this does not apply to...
متن کاملSpatial Patterns of Poverty in Iran
Poverty can have spatial dimensions. While general figures might show the spatial pattern of poverty, there is a need for more detailed examination of this pattern. Relying on simple figures of spatial patterns and ranking regions based on them might be misleading. This paper tries to apply spatial analysis methodsm, namely spatial autoregressive models to find out the impacts of space on the h...
متن کاملSpatial patterns of desynchronization bursts in networks.
We adapt a previous model and analysis method (the master stability function), extensively used for studying the stability of the synchronous state of networks of identical chaotic oscillators, to the case of oscillators that are similar but not exactly identical. We find that bubbling induced desynchronization bursts occur for some parameter values. These bursts have spatial patterns, which ca...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Bifurcation and Chaos
سال: 2016
ISSN: 0218-1274,1793-6551
DOI: 10.1142/s0218127416502230