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Multiscale mixing patterns in networks

Leto Peel, Jean-Charles Delvenne, Renaud Lambiotte
2018 Proceedings of the National Academy of Sciences of the United States of America  
Our method provides a clearer lens through which we can more closely examine mixing patterns in networks.  ...  Consequently we are able to capture and qualitatively evaluate the distribution of mixing patterns in the network.  ...  Real Networks Next we use r multi to evaluate the mixing patterns in some real networks: an ecological network and set of online social networks.  ... 
doi:10.1073/pnas.1713019115 pmid:29610344 pmcid:PMC5910813 fatcat:pmfgqlavyzdnfdmfiwqxwm6aiu

Multivariate multiscale complex network analysis of vertical upward oil-water two-phase flow in a small diameter pipe

Zhong-Ke Gao, Yu-Xuan Yang, Lu-Sheng Zhai, Wei-Dong Dang, Jia-Liang Yu, Ning-De Jin
2016 Scientific Reports  
Then we characterize the generated multiscale complex networks in terms of network clustering measure.  ...  Specifically, we infer complex networks at different scales from multi-channel measurements for three typical vertical oil-in-water flow patterns.  ...  a multiscale complex network.  ... 
doi:10.1038/srep20052 pmid:26833427 pmcid:PMC4735800 fatcat:nzwlw4gpnzdlbbpoc26tyu7o3e

Delineating Mixed Urban "Jobs-Housing" Patterns at a Fine Scale by Using High Spatial Resolution Remote-Sensing Imagery

Yao Yao, Chen Qian, Ye Hong, Qingfeng Guan, Jingmin Chen, Liangyang Dai, Zhangwei Jiang, Xun Liang
2020 Complexity  
The spatial distribution pattern of jobs and housing plays a vital role in urban planning and traffic construction.  ...  We demonstrate that the multiscale random sampling method can reduce the influence of image noise, increase the utilization of training data, and reduce network overfitting.  ...  that reflect a mixed jobs-housing pattern?  ... 
doi:10.1155/2020/8018629 fatcat:wab4wbkf5bgadpjglrrkucym6e

Time Irreversibility from Time Series for Analyzing Oil-in-Water Flow Transition

Du Meng, Chen Xiao-yan, Liu Hong-ying, He Qing, Bai Rui-xiang, Liu Weixin, Li Zewei
2016 Mathematical Problems in Engineering  
Moreover, we propose a novel criterion, that is, AMSI (average of multiscale time irreversibility), to quantitatively investigate the oil-in-water two-phase flow pattern dynamics.  ...  Then we detect the flow pattern asymmetry character from the collected signals with multidimensional time irreversibility and multiscale time irreversibility index.  ...  Mathematical Problems in Engineering  ... 
doi:10.1155/2016/2879524 fatcat:xlqop5ckmfflfmbkagq3m72zqa

Mapping from structure to dynamics: A unified view of dynamical processes on networks

Jie Zhang, Changsong Zhou, Xiaoke Xu, Michael Small
2010 Physical Review E  
We investigate a general computational transformation by which we can map the network topology directly to the dynamical patterns emergent on it -- independent of the nature of the dynamical process.  ...  Using the multiscale complexity measure derived form the structure-dynamics transformation, we find that the topological features like hierarchy, heterogeneity and modularity all result in higher complexity  ...  Color online͒ Multiscale entropy for ͑a͒ scale free BA, random ER network, assortively and disassortatively mixed BA network.  ... 
doi:10.1103/physreve.82.026116 pmid:20866885 fatcat:h4zf7ydjbndyliik4rf37nwaca

Multiscale Voter Model on Real Networks [article]

Elisenda Ortiz, M.Ángeles Serrano
2022 arXiv   pre-print
The segregated domains, which signal opinion polarization, are discernible as spatial patterns in the hyperbolic embeddings of the networks.  ...  We introduce the Multiscale Voter Model (MVM) to investigate clan influence at multiple scales in opinion formation on complex networks.  ...  We introduce the Multiscale Voter Model (MVM) to investigate clan influence at multiple scales in opinion formation on complex networks.  ... 
arXiv:2107.06656v4 fatcat:lrahvf7b3jeuze6yjetd6l5bry

Novel Compound-Forming Technology Using Bioprinting and Electrospinning for Patterning a 3D Scaffold Construct with Multiscale Channels

Yuanshao Sun, Yuanyuan Liu, Shuai Li, Change Liu, Qingxi Hu
2016 Micromachines  
Use of patterned hydrogel structures with multiscale channels can be used to achieve the required vascularization. Patterned structures need to be biocompatible and biodegradable.  ...  In this study, gelatin was used as the main part of a hydrogel to prepare a biological structure with 3D multiscale channels using bioprinting combined with selection of suitable materials and electrostatic  ...  In recent years, another method, which relies on patterning the channel network within a hydrogel matrix, has been proposed.  ... 
doi:10.3390/mi7120238 pmid:30404410 pmcid:PMC6189956 fatcat:mwg5k34gf5ehtbtx5stwigvmhm

Multiscale limited penetrable horizontal visibility graph for analyzing nonlinear time series

Zhong-Ke Gao, Qing Cai, Yu-Xuan Yang, Wei-Dong Dang, Shan-Shan Zhang
2016 Scientific Reports  
We in this paper develop a novel multiscale limited penetrable horizontal visibility graph (MLPHVG).  ...  oil-water flow patterns.  ...  In addition, we use our method to derive multiscale complex network from oil-water two-phase flow signals and then employ multiscale network statistical measures to characterize the constructed networks  ... 
doi:10.1038/srep35622 pmid:27759088 pmcid:PMC5069474 fatcat:zqweyzwgx5cshawakiiqk6cybu

Generate Point Clouds with Multiscale Details from Graph-Represented Structures [article]

Ximing Yang, Zhengfu He, Cheng Jin
2022 arXiv   pre-print
Given structures in multiple scales, similar patterns of local structures can be found at different scales, positions, and angles.  ...  To represent structures in different scales at the same time, we present a graph-based representation of structures called the Multiscale Structure Graph(MSG).  ...  With the mixed-precision K-means, we are able to automatically extract MSGs that contain structures in various scales.  ... 
arXiv:2112.06433v2 fatcat:7lrhufcqbjeibdh2dlzc7vbszi

Hexagonal wavelet representations for recognizing complex annotations

Laine, Schuler
1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition CVPR-94  
A f e asibility study is described in which more t h a n 10,000 patterns were r ecognized with an error rate of 2.06% by a neural network trained using multiscale representations from a class of 52 distinct  ...  We observed a 21-fold reduction in the amount of information needed t o r epresent each pattern for recognition.  ...  Recently, Eduard S ackinger et: al 15] trained a neural network of 136,000 connections for recognition of handwritten digits 0-9] using a mixed analog/digital neural network chip (VLSI).  ... 
doi:10.1109/cvpr.1994.323890 dblp:conf/cvpr/LaineS94 fatcat:tdhbivmnqbhzzo4o6hoxwe6ume

Contextual Mixing Feature Unet for Multi-Organ Nuclei Segmentation

Xi Xue, Sei-Ichiro Kamata
2022 Frontiers in Signal Processing  
To ensure good segmentation performance, a multiscale kernel weighted module (MKWM) and a dense mixing feature module (DMFM) are designed.  ...  Thus, in this article, we propose a contextual mixing feature Unet (CMF-Unet), which utilizes two parallel branches, nuclei segmentation branch and boundary extraction branch, and mixes complementary feature  ...  In addition, a multiscale kernel weighted module and a dense mixing feature module are designed to ensure that the network obtains rich and integrated features. FIGURE 2 .  ... 
doi:10.3389/frsip.2022.833433 fatcat:c2yevtjqovdd3gsnrhet65ibxi

Tectonic interpretation of the connectivity of a multiscale fracture system in limestone

Qinghua Lei, Xiaoguang Wang
2016 Geophysical Research Letters  
This paper studies the statistics and tectonism of a multiscale natural fracture system in limestone.  ...  A tectonic interpretation based on a polyphase fracture network evolution history is proposed to explain this discrepancy.  ...  Supporting data are included in the supporting information; any additional data may be obtained from Qinghua Lei (  ... 
doi:10.1002/2015gl067277 fatcat:vuvzpg6cmzh65dayomehgo6jxq

Synthesis and patterning of tunable multiscale materials with engineered cells [article]

Allen Y Chen, Urartu O.S. Seker, Michelle Y Lu, Robert J Citorik, Timothy Lu
2014 biorxiv/medrxiv   pre-print
A major challenge in materials science is to create self-assembling, functional, and environmentally responsive materials which can be patterned across multiple length scales.  ...  In addition, we show that by combining subunit-level protein engineering, controlled genetic expression of self-assembling subunit proteins, and macroscale spatial gradients, synthetic biofilms can pattern  ...  In summary, by integrating synthetic gene networks in engineered cells with extracellular protein biomaterials, living materials with environmental responsiveness, tunable functionalities, multiscale patterning  ... 
doi:10.1101/002659 fatcat:muqxnf5eb5exlidl3c2n3jjkk4

Complexity of phase distribution in two-phase flow using composite multiscale entropy

Gabriela Rafałko, Romuald Mosdorf, Grzegorz Litak, Grzegorz Górski
2020 The European Physical Journal Plus  
In this paper, air and water-glycerol mixed fluid flow has been studied. In the experiment, the volume flow rates of air and water-glycerol were changing.  ...  We studied transition of bubbles to slugs two-phase flow patterns by using multiscale entropy approach to digital camera signals and identified various patterns.  ...  The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material.  ... 
doi:10.1140/epjp/s13360-020-00686-0 fatcat:hkktjwtk4vephhwum2iqdodt6e

Adolescent development of multiscale cortical wiring and functional connectivity in the human connectome [article]

Bo-yong Park, Casey Paquola, Richard A.I. Bethlehem, Oualid Benkarim, Bratislav Misic, Jonathan Smallwood, Edward T. Bullmore, Boris Bernhardt, Neuroscience in Psychiatry Network (NSPN) Consortium
2021 bioRxiv   pre-print
Here, we analyzed structural and functional brain network development in an accelerated longitudinal cohort spanning 14-25 years (n = 199).  ...  Longitudinal analyses assessing age-related changes in cortical wiring during adolescence identified increases in cortical wiring within attention and default-mode networks, as well as between transmodal  ...  network maturation using linear mixed effect models.  ... 
doi:10.1101/2021.08.16.456455 fatcat:w5yswllbczfirjbp4b67pdb2km
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