The characterization of topology is crucial in understanding network evolution and behavior. This paper presents an innovative approach, the GHuST framework to describe complex-network topology from graphlet decomposition. This new framework exploits the
The ceRNA network was based on bioinformatics analysis and the sequencing informantion. The results are shown in Cytoscape v3.7.2 (The Cytoscape Consortium, San Diego, CA, USA)(Shannon et al., 2003). 2.12. Calculation of topology attributes The network topology qualities were evaluated by ...
The antenna sends data to (and receives data from) a wireless (Wi-Fi) network. The smaller chip manages that process and passes its data to the larger chip, which is called an Ethernet MAC/BBP (baseband processor). This converts the incoming data into a form your computer can understand...
Network reciprocity has been successfully put forward (since M. A. Nowak and R. May’s, 1992, influential paper) as the simplest mechanism—requiring no strategical complexity—supporting the evolution of cooperation in biological and socioeconomic systems. The mechanism is actually the network, whic...
each of which is performed without a particular feature of the dataset. At the end of the algorithm, every feature will have its score of importance in the prediction of the target variable; that is, the higher it is, the lower the score of prediction performed by the network without that...
Contextual factors are areas where policymaking and business practices can make a difference, but also where socio-political (e.g., the laws and regulations in a country) and physical (e.g., the topology of a region and its potential for wind energy) differences between cases are described....