Cycle-flow–based module detection in directed recurrence networks
نویسندگان
چکیده
منابع مشابه
Loop-based Module Detection in Directed Networks
We present a new cycle flow based method for finding fuzzy partitions of weighted directed networks coming from time series data. We show that this method overcomes essential problems of most existing clustering approaches, which tend to ignore important directional information by considering only one-step, one-directional node connections. Our method introduces a novel measure of communication...
متن کاملModule identification in bipartite and directed networks.
Modularity is one of the most prominent properties of real-world complex networks. Here, we address the issue of module identification in two important classes of networks: bipartite networks and directed unipartite networks. Nodes in bipartite networks are divided into two nonoverlapping sets, and the links must have one end node from each set. Directed unipartite networks only have one type o...
متن کاملModule identification in bipartite networks with applications to directed networks
Modularity is one of the most prominent properties of real-world complex networks. Here, we address the issue of module identification in an important class of networks known as bipartite networks. Nodes in bipartite networks are divided into two non-overlapping sets, and the links must have one end node from each set. We suggest a novel approach especially suited for module detection in bipart...
متن کاملCycle and flow trusses in directed networks
When we represent real-world systems as networks, the directions of links often convey valuable information. Finding module structures that respect link directions is one of the most important tasks for analysing directed networks. Although many notions of a directed module have been proposed, no consensus has been reached. This lack of consensus results partly because there might exist distinc...
متن کاملOn Functional Module Detection in Metabolic Networks
Functional modules of metabolic networks are essential for understanding the metabolism of an organism as a whole. With the vast amount of experimental data and the construction of complex and large-scale, often genome-wide, models, the computer-aided identification of functional modules becomes more and more important. Since steady states play a key role in biology, many methods have been deve...
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: EPL (Europhysics Letters)
سال: 2014
ISSN: 0295-5075,1286-4854
DOI: 10.1209/0295-5075/108/68008