about
Graphlet characteristics in directed networksExploring the structure and function of temporal networks with dynamic graphletsExperimental and Computational Analysis of a Large Protein Network That Controls Fat Storage Reveals the Design Principles of a Signaling NetworkThe post-genomic era of biological network alignmentMotif-role-fingerprints: the building-blocks of motifs, clustering-coefficients and transitivities in directed networksTopology-function conservation in protein-protein interaction networksQuantifying the consistency of scientific databasesProper evaluation of alignment-free network comparison methodsAntibiotic perturbation of the murine gut microbiome enhances the adiposity, insulin resistance, and liver disease associated with high-fat diet.Graphlet Based Metrics for the Comparison of Gene Regulatory NetworksQuantifying randomness in real networks.Small Worldness in Dense and Weighted ConnectomesA powerful weighted statistic for detecting group differences of directed biological networks.Graphlet-based Characterization of Directed Networks.Action-based Modeling of Complex Networks.A single early-in-life macrolide course has lasting effects on murine microbial network topology and immunity.Graphettes: Constant-time determination of graphlet and orbit identity including (possibly disconnected) graphlets up to size 8.LoTo: a graphlet based method for the comparison of local topology between gene regulatory networks.Higher-order organization of complex networks.Higher-order Network Analysis of Fine Particulate Matter (PM 2.5) Transport in China at City Level.Robust clustering of languages across Wikipedia growth.Classification of complex networks based on similarity of topological network features.Rebuttal to the Letter to the Editor in response to the paper: proper evaluation of alignment-free network comparison methods.Ergodic theory and visualization. II. Fourier mesochronic plots visualize (quasi)periodic sets.GRAFENE: Graphlet-based alignment-free network approach integrates 3D structural and sequence (residue order) data to improve protein structural comparison.Individual and household attributes influence the dynamics of the personal skin microbiota and its association network.Community Detection in Complex Networks via Clique Conductance.Symmetry and symmetry breaking in cancer: a foundational approach to the cancer problem.Local Higher-Order Graph Clustering.Identification of common coexpression modules based on quantitative network comparison.Network analysis of the NetHealth data: exploring co-evolution of individuals’ social network positions and physical activities
P2860
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P2860
description
2014 nî lūn-bûn
@nan
2014 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Revealing the hidden language of complex networks.
@ast
Revealing the hidden language of complex networks.
@en
type
label
Revealing the hidden language of complex networks.
@ast
Revealing the hidden language of complex networks.
@en
prefLabel
Revealing the hidden language of complex networks.
@ast
Revealing the hidden language of complex networks.
@en
P2093
P2860
P50
P356
P1433
P1476
Revealing the hidden language of complex networks.
@en
P2093
Darren Davis
Rasa Karapandza
Vuk Janjic
Zoran Levnajic
Ömer Nebil Yaveroğlu
P2860
P2888
P356
10.1038/SREP04547
P407
P577
2014-04-01T00:00:00Z
P5875
P6179
1025748985