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Call graph plays a very important role in program analysis, and it has been widely used in software engineering (e.g., program understanding, compiling optimization, regression test, etc). In the present paper, we studied the source code structure of a Java program from a call graph perspective. We check the basal network properties of the call graph. By(More)
A call graph is a directed graph in which nodes are functional units and arcs are call events, it is used to represent the call relationship of the program. Generally speaking, call graph plays a very important role in program analysis, and it has been widely used in software engineering (e.g., program understanding, compiling optimization, regression test,(More)
Topological analysis methods have been developed to study the fundamental organizational principles of large-scale metabolic networks, which would be operated maintain life in human and other organisms. Among a lot of topological analysis methods, a number of recent studies have focused on the centrality methods, which could be help to seek for important(More)
Extracellular electron transfer (EET) is the key feature of some bacteria, such as Geobacter sulfurreducens and Shewanella oneidensis. Via EET processes, these bacteria can grow on electrode surfaces and make current output of microbial fuel cells. c-Type cytochromes can be used as carriers to transfer electrons, which play an important role in EET(More)
There are lots of attempts to obtain functional modules in biological networks based on graph theory. However, biological networks differ from general graphs (or complex networks), and thus in most cases, these attempts can not obtain suitable units with biological significance. Herein, after the introduction of the basic for elementary flux mode (EFM)(More)
The mammalian target of rapamycin (mTOR) regulates cell growth, cell proliferation, and other numerous cellular processes, and thus has been an attractive target for pharmic and therapeutic study. We study the mTOR regulator from a network perspective in the present paper. We first construct a complex network model for the mTOR regulator from published(More)
As human metabolic network models become available, medical and pharmaceutical applications of these models are becoming feasible nowadays, and thus reconstruction and analysis of genome-scale models for human tissue-specific metabolism is becoming an excellent starting effort into the systems medicine era. Due to its significance for human physiology, a(More)
The biological data flood makes more and more genome-scale biological networks available. There is a need to identify functional modules in these biological networks, complex networks based methods offer promise in this regard. Here, we show that EAGLE algorithm can be used for functional modules identification. By applying the algorithm to the giant strong(More)
Biological networks have been widely interest as an emergent research field over the past decade. Considering of the structure of a network would helpful for understanding its function, determining the pivotal composition in the biological networks is an important step toward understanding them, and the key insights have been provided with centrality(More)
The huge developments (e. g., small-world and scale-free network theories) in complex networks have inspired new applications in neuroscience fields. To data, lots of studies have suggested that complex networks could also be used in the complex brain systems. In despite of the analysis in brain networks, the centrality methods that could be help to seek(More)
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