This item may be available elsewhere in EconPapers: Search for items with the same title. Since a shared singlet between two nodes can still. percolation cluster, and it is much longer than the shortest-hopcount.
#1 hop percolation full#
References: View references in EconPapers View complete reference list from CitEcĪccess to full text is restricted to subscribers A lower percolation threshold means that quantum networks require fewer minimum resources for communication. Figure 1-2: A demonstration of percolation on a two-dimensional grid. Keywords: Phase transition random network generating function rate equation core (search for similar items in EconPapers) This unravels, e.g., a unique crossover phenomenon rooted in heterogeneous networks, which raises a caution that endeavor to promote network-level robustness could backfire when multi-hop tracing is involved. We test our theoretical results on synthetic homogeneous and heterogeneous networks, as well as on a selection of large-scale real-world networks. We develop analytical frameworks based upon generating function formalism and rate equation method, showing for instance continuous phase transition for G(2,1)-core and discontinuous phase transition for G(k,L)-core with any other combination of k and L. The resulting subgraph is referred to as G(k,L)-core, extending the recently proposed Gk-core and classical core of a network. L-hop percolation on networks with arbitrary degree distributions and its applications Yilun Shang, Weiliang Luo, and Shouhuai Xu Phys. Here we introduce the multi-hop generalized core percolation on complex networks, where nodes with degree less than k and their neighbors within L-hop distance are removed progressively from the network. Recent theoretical studies on network robustness have focused primarily on attacks by random selection and global vision, but numerous real-life networks suffer from proximity-based breakdown. Yilun Shang: Department of Computer and Information Sciences, Northumbria University, Ellison Place, Newcastle upon Tyne NE1 8ST, UKĪdvances in Complex Systems (ACS), 2020, vol.
#1 hop percolation free#
Accepts network in the edgelist format and outputs seperate ranked files based on each of induvidual centrality measures and also a Rank.csv file based on the combined values of each centrality measure of each of the genes.MULTI-HOP GENERALIZED CORE PERCOLATION ON COMPLEX NETWORKS Traffic, as a large-scale and complex dynamical system, has attracted much attention, especially on its dynamical transition between free flow and congestion (13).The dynamics of traffic have been studied using many types of models (411), ranging from models in macroscopic scales based on the kinetic gas theory or fluid dynamics to approaches in microscopic scales with equations for each. Output is a file showing the out of community gene and its shortest possible hop from any of the communities.Ĭentrality_measure_test.py is a python program to check the 4 centrality measures of the given graph. Takes 3 input files first the network file in edge list format, second the list of genes to check hop distance from communities and third the community file. Hop_distance_analyzer.py is a program to check the hop distance metric of each gene entry. Aceepts 2 input files first the community file and second the file containg list of genes to check.Can be used to check the cancerous genes present in wach communities and also the non-cancerous genes. Node_in_community_checker.py is a script to check how many genes in a given list are present in each of the communities. Accepts 2 files as input 1 the obtained output file and next a file with true cancer entries to cross check with. Author information: (1)Institute for Cyber Security, University of Texas at San Antonio, Texas 78249, USA. Gene_list_comparer.py is a script to check the number of matching elements between 2 given lists. L-hop percolation on networks with arbitrary degree distributions and its applications. The splitter-HPRD.py is a python script to convert the binary interactions from the HPRD database to that of an edgelist (ie format accepted by the FCPA algorithm) The program is designed to output these 2 files types recursively for k values 5 to 10. The second output file represents the details of each of the nodes in the community file. Outputs 2 types of files 1 actual community files, where each new line corresponds to a new community of size atleast k. The FCPA.py is the actual Python implementation of the fast k-clique percolation algorithm.Accepts a network in the edgelist format. Python codes and data files for the project titled- "Effect of community structures in cancer protein identfication" The percolation rate of a given soil sample is affected. To measure the percolation rates of different soil samples, a percolation test is carried out. In other words, it’s the rate at which percolation occurs, and it’s usually measured in inches per hour. Effect of community structures in cancer protein identfication Percolation rate is the speed at which that water moves through different soil layers.
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