2021_Application_of_complex_systems_topologies_in_artificial_neural.pdf
860.1 KB
πApplication of complex systems topologies in artificial neural networks optimization: An overview
πJournal: Expert Systems with Applications (I.F= 6.954)
πPublish year: 2021
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #biology #link_prediction
πJournal: Expert Systems with Applications (I.F= 6.954)
πPublish year: 2021
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #biology #link_prediction
π1
πRandom complex networks
πJournal: National Science Review(I.F= 16.693)
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πJournal: National Science Review(I.F= 16.693)
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
π Order and Disorder in Network Science
π₯A recurring theme in the study of complex systems is the emergence of order and disorder in systems. Historically, one can think of the Boltzmann equation, and the irreversible growth of disorder at the macroscopic scale from reversible dynamics at the microscopic scale. Reversely, scientists have been fascinated by the emergence of spatial and temporal patterns in interacting systems. In this talk, I will give a personal view on these two sides within the field of network science, whose combination of order and randomness is at the core of several works on network dynamics and algorithms.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #tutorial
π₯A recurring theme in the study of complex systems is the emergence of order and disorder in systems. Historically, one can think of the Boltzmann equation, and the irreversible growth of disorder at the macroscopic scale from reversible dynamics at the microscopic scale. Reversely, scientists have been fascinated by the emergence of spatial and temporal patterns in interacting systems. In this talk, I will give a personal view on these two sides within the field of network science, whose combination of order and randomness is at the core of several works on network dynamics and algorithms.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #tutorial
YouTube
Order and Disorder in Network Science - Renaud Lambiotte
A recurring theme in the study of complex systems is the emergence of order and disorder in systems. Historically, one can think of the Boltzmann equation, and the irreversible growth of disorder at the macroscopic scale from reversible dynamics at the microscopicβ¦
2018_Link prediction potentials for biological networks.pdf
407.2 KB
π Link prediction potentials for biological networks
π Journal: International Journal of Data Mining and Bioinformatics (I.F=0.667)
π Publish year: 2018
π Study paper
π±Channel:
@ComplexNetworkAnalysis
#paper #linkprediction #biology
π Journal: International Journal of Data Mining and Bioinformatics (I.F=0.667)
π Publish year: 2018
π Study paper
π±Channel:
@ComplexNetworkAnalysis
#paper #linkprediction #biology
π Network Analysis: Methodological Foundations
π Download the ebook
π²Channel: @ComplexNetworkAnalysis
#ebook
π Download the ebook
π²Channel: @ComplexNetworkAnalysis
#ebook
π Power law and scale-free networks.
π₯Free recorded Lecture by Prof. Leonid Zhukov, Ilya Makarov.
π₯Power law distribution. Scale-free networks.Pareto distribution, normalization, moments. Zipf law. Rank-frequency plot.
π½ Watch
πLecture
π²Channel: @ComplexNetworkAnalysis
#video #Lecture
π₯Free recorded Lecture by Prof. Leonid Zhukov, Ilya Makarov.
π₯Power law distribution. Scale-free networks.Pareto distribution, normalization, moments. Zipf law. Rank-frequency plot.
π½ Watch
πLecture
π²Channel: @ComplexNetworkAnalysis
#video #Lecture
YouTube
Lecture 2. Power law and scale-free networks.
Network Science 2021 @ HSE
http://www.leonidzhukov.net/hse/2021/networks/
http://www.leonidzhukov.net/hse/2021/networks/
πA Survey of Link Prediction in Complex Networks
πPublish year: 2016
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Survey #linkprediction
πPublish year: 2016
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Survey #linkprediction
πComplex Networks in Manufacturing and Logistics: A Retrospect
π Book: Dynamics in Logistics
πPublish year: 2021
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
π Book: Dynamics in Logistics
πPublish year: 2021
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πA complex network approach to time series analysis with application in diagnosis of neuromuscular disorders
πPublish year: 2021
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πPublish year: 2021
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
π1
Forwarded from Bioinformatics
π¬Introduction to Biological Network Analysis
π©βπ«Mini Courses from Donna Slonim at Tufts University
Session 1: Network Basics and Properties
Session 2: From Graphs to Function
Session 3: Identifying Network Modules
Session 4: Network Alignment and Querying
π²Channel: @Bioinformatics
π©βπ«Mini Courses from Donna Slonim at Tufts University
Session 1: Network Basics and Properties
Session 2: From Graphs to Function
Session 3: Identifying Network Modules
Session 4: Network Alignment and Querying
π²Channel: @Bioinformatics
π Seven-Layer Model in Complex Networks Link Prediction: A Survey
πJournal: Sensors (I.F=3.576)
πPublish year: 2020
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #survey #linkprediction
πJournal: Sensors (I.F=3.576)
πPublish year: 2020
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #survey #linkprediction
π Introduction to Social Network Analysis [4/5]: Graph Interpretation
π₯Free recorded workshop by Martin Grandjean (UniversitΓ© de Lausanne) at the Conference HNR+ResHist2021 Conference "Historical Networks - RΓ©seaux Historiques - Historische Netzwerke co-organised by HNR and ResHist.
π½ Watch
π²Channel: @ComplexNetworkAnalysis
#video #workshop
π₯Free recorded workshop by Martin Grandjean (UniversitΓ© de Lausanne) at the Conference HNR+ResHist2021 Conference "Historical Networks - RΓ©seaux Historiques - Historische Netzwerke co-organised by HNR and ResHist.
π½ Watch
π²Channel: @ComplexNetworkAnalysis
#video #workshop
YouTube
Introduction to Social Network Analysis [4/5]: Graph Interpretation
Workshop by Martin Grandjean (UniversitΓ© de Lausanne) at the Conference HNR+ResHist2021 Conference "Historical Networks - RΓ©seaux Historiques - Historische Netzwerke co-organised by HNR and ResHist.
The script is available here: https://doi.org/10.5281/zenodo.5083036β¦
The script is available here: https://doi.org/10.5281/zenodo.5083036β¦
π Network analysis of protein interaction data
π₯Free course From EMBL-EBI
π₯This course provides an introduction to the theory and concepts of network analysis. It explores some of the features of protein-protein interaction networks and their implications for biology. Finally, the course discusses the tools and strategies that can be used to build and analyse biological networks.
πStudy course
π²Channel: @ComplexNetworkAnalysis
#course
π₯Free course From EMBL-EBI
π₯This course provides an introduction to the theory and concepts of network analysis. It explores some of the features of protein-protein interaction networks and their implications for biology. Finally, the course discusses the tools and strategies that can be used to build and analyse biological networks.
πStudy course
π²Channel: @ComplexNetworkAnalysis
#course
π4
π Random graphs
π₯Free recorded Lecture by Prof. Leonid Zhukov, Ilya Makarov.
π₯Erdos-Reni random graph model. Poisson and Bernulli distributions. Distribution of node degrees. Phase transition, gigantic connected component. Diameter and cluster coefficient. Configuration model.
π½ Watch
π Lecture
π²Channel: @ComplexNetworkAnalysis
#video #Lecture
π₯Free recorded Lecture by Prof. Leonid Zhukov, Ilya Makarov.
π₯Erdos-Reni random graph model. Poisson and Bernulli distributions. Distribution of node degrees. Phase transition, gigantic connected component. Diameter and cluster coefficient. Configuration model.
π½ Watch
π Lecture
π²Channel: @ComplexNetworkAnalysis
#video #Lecture
YouTube
Lecture 3. Random graphs.
Network Science 2021 @ HSE
http://www.leonidzhukov.net/hse/2021/networks/
http://www.leonidzhukov.net/hse/2021/networks/
2019_complex_networks_in_software_knowledge_and_social_systems.pdf
11.1 MB
πComplex Networks in Software, Knowledge, and Social Systems
π±Channel: @ComplexNetworkAnalysis
#book #social_system
π±Channel: @ComplexNetworkAnalysis
#book #social_system
πThe igraph software package for complex network research
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #igraph
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #igraph
π2
πOn community structure in complex networks: challenges and opportunities
πJournal: Applied Network Science volume (I.F=2.65)
πPublish year: 2019
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πJournal: Applied Network Science volume (I.F=2.65)
πPublish year: 2019
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
π1