📄Analysis of Network Clustering Algorithms and Cluster Quality Metrics at Scale
📘Journal: PLOS ONE(I.F=3.752)
🗓Publish year: 2016
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Clustering
📘Journal: PLOS ONE(I.F=3.752)
🗓Publish year: 2016
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Clustering
📄A survey of game theory as applied to social networks
📘Journal: T singhua Science and Technology (I.F=3.515)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #game_theory #survey
📘Journal: T singhua Science and Technology (I.F=3.515)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #game_theory #survey
👍1
🎞 Network Analysis in Systems Biology
💥Free recorded course by Avi Ma’ayan, PhD
💥An introduction to data integration and statistical methods used in contemporary Systems Biology, Bioinformatics and Systems Pharmacology research. The course covers methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) including data normalization, differential expression, clustering, enrichment analysis and network construction. The course contains practical tutorials for using tools and setting up pipelines, but it also covers the mathematics behind the methods applied within the tools. The course is mostly appropriate for beginning graduate students and advanced undergraduates majoring in fields such as biology, math, physics, chemistry, computer science, biomedical and electrical engineering. The course should be useful for researchers who encounter large datasets in their own research. The course presents software tools developed by the Ma’ayan Laboratory
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📲Channel: @ComplexNetworkAnalysis
#video #course #Biology
💥Free recorded course by Avi Ma’ayan, PhD
💥An introduction to data integration and statistical methods used in contemporary Systems Biology, Bioinformatics and Systems Pharmacology research. The course covers methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) including data normalization, differential expression, clustering, enrichment analysis and network construction. The course contains practical tutorials for using tools and setting up pipelines, but it also covers the mathematics behind the methods applied within the tools. The course is mostly appropriate for beginning graduate students and advanced undergraduates majoring in fields such as biology, math, physics, chemistry, computer science, biomedical and electrical engineering. The course should be useful for researchers who encounter large datasets in their own research. The course presents software tools developed by the Ma’ayan Laboratory
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📲Channel: @ComplexNetworkAnalysis
#video #course #Biology
Coursera
Network Analysis in Systems Biology
Offered by Icahn School of Medicine at Mount Sinai. This ... Enroll for free.
📄Social Network Analysis and Spectral Clustering in Graphs and Networks
💥Technical paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Spectral_Clustering #Graph #Code #Python
💥Technical paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Spectral_Clustering #Graph #Code #Python
Medium
Social Network Analysis and Spectral Clustering in Graphs and Networks
Introduction to centrality measures and partitioning techniques in graphs
🎞 Consul and Complex Networks
💥Free recorded course by James Phillips, Consul Lead at HashiCorp
💥A systematic overview of Consul's different network models, how they work, what kind of use cases they serve, and how prepared queries can help provide glue to keep service discovery simple across all.
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📲Channel: @ComplexNetworkAnalysis
#video #course #Consul
💥Free recorded course by James Phillips, Consul Lead at HashiCorp
💥A systematic overview of Consul's different network models, how they work, what kind of use cases they serve, and how prepared queries can help provide glue to keep service discovery simple across all.
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📲Channel: @ComplexNetworkAnalysis
#video #course #Consul
YouTube
Consul and Complex Networks
James Phillips, Consul Lead at HashiCorp
A systematic overview of Consul's different network models, how they work, what kind of use cases they serve, and how prepared queries can help provide glue to keep service discovery simple across all.
For information…
A systematic overview of Consul's different network models, how they work, what kind of use cases they serve, and how prepared queries can help provide glue to keep service discovery simple across all.
For information…
👍2
📄Network-based machine learning and graph theory algorithms for precision oncology
📘Journal: npj Precision Oncology(I.F=10.092)
🗓Publish year: 2017
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #machine_Learning #graph
📘Journal: npj Precision Oncology(I.F=10.092)
🗓Publish year: 2017
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #machine_Learning #graph
📄INTRODUCTION TO COMPLEX NETWORK ANALYSIS
💥Technical paper
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📲Channel: @ComplexNetworkAnalysis
#paper
💥Technical paper
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📲Channel: @ComplexNetworkAnalysis
#paper
Medium
INTRODUCTION TO COMPLEX NETWORK ANALYSIS
Complex Network Analysis studies how to recognise, describe, visualise and analyse complex networks. The most prominent way of analysing…
👍6
📄Cliques, Clusters and Components
💥Technical paper
💥Social Network Analysis for Startups by Maksim Tsvetovat, Alexander
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Clustering #Graph #Code #Python
💥Technical paper
💥Social Network Analysis for Startups by Maksim Tsvetovat, Alexander
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Clustering #Graph #Code #Python
O’Reilly Online Learning
Social Network Analysis for Startups
Chapter 4. Cliques, Clusters and Components In the previous chapter, we mainly talked about properties of individuals in a social network. In this chapter, we start working with progressively larger … - Selection from Social Network Analysis for Startups…
📄Complex Network: Facebook friends list
💥Technical paper
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📲Channel: @ComplexNetworkAnalysis
#paper
💥Technical paper
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📲Channel: @ComplexNetworkAnalysis
#paper
Medium
Complex Network: Facebook friends list
A small introduction to complex network analysis and the tools used.
🎞 clustering and motifs
💥Free recorded course
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📲Channel: @ComplexNetworkAnalysis
#video #course #clustering #motif
💥Free recorded course
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📲Channel: @ComplexNetworkAnalysis
#video #course #clustering #motif
YouTube
Social Network Analysis || 02 5B clustering and motifs 20 45
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📄Complex network approaches to nonlinear time series analysis
📘Journal: Physics Reports (I.F=25.6)
🗓Publish year: 2019
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #time_series
📘Journal: Physics Reports (I.F=25.6)
🗓Publish year: 2019
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #time_series
🎞 Machine Learning with Graphs: Applications of Graph ML
💥Free recorded course by Jure Leskovec, Computer Science, PhD
💥Graph machine learning can be applied in many scenarios, including the tasks of node classification, link prediction, graph classification, etc. Machine Learning at different levels of graphs usually demonstrate powerful capability in many specific tasks in different fields, ranging from protein folding, drug discovery, to recommender system, traffic prediction, among various other tasks.
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📜 Slides
💻Codes: part1 part2
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning #code #python
💥Free recorded course by Jure Leskovec, Computer Science, PhD
💥Graph machine learning can be applied in many scenarios, including the tasks of node classification, link prediction, graph classification, etc. Machine Learning at different levels of graphs usually demonstrate powerful capability in many specific tasks in different fields, ranging from protein folding, drug discovery, to recommender system, traffic prediction, among various other tasks.
📽 Watch
📜 Slides
💻Codes: part1 part2
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning #code #python
YouTube
Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 1.2 - Applications of Graph ML
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/2XQKRsU
Jure Leskovec
Computer Science, PhD
Graph machine learning can be applied in many scenarios, including the tasks of node…
Jure Leskovec
Computer Science, PhD
Graph machine learning can be applied in many scenarios, including the tasks of node…
👍2
📄New perspectives on analysing data from biological collections based on social network analytics
📘Journal: Scientific Reports (I.F=4.996)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #biological
📘Journal: Scientific Reports (I.F=4.996)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #biological
🎞 Methods in building and analysing biological networks
💥Free recorded webinar series
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📱Channel: @ComplexNetworkAnalysis
#video #webinar #biological_networks
💥Free recorded webinar series
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📱Channel: @ComplexNetworkAnalysis
#video #webinar #biological_networks
YouTube
Methods in building and analysing biological networks
Cells are complex and dynamic systems able to modify their behaviour and their morphology in response to internal or environment-induced cues. Such response is achieved thanks to enzymatic reactions and physical interactions that occur between cellular components…
📄Applications of network analysis to routinely collected health care data: a systematic review
📘Journal: Journal of the American Medical Informatics Association (I.F=7.942)
🗓Publish year: 2018
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Applications #health_care #review
📘Journal: Journal of the American Medical Informatics Association (I.F=7.942)
🗓Publish year: 2018
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Applications #health_care #review
🎓Analysis of the Structural Properties and Scalability of Complex Networks
📘A DISSERTATION SUBMITTED TO THE FACULTY OF THE GRADUATE SCHOOL OF THE UNIVERSITY OF MINNESOTA
🗓Publish year: 2018
📎Study dissertation
📱Channel: @ComplexNetworkAnalysis
#dissertation #scalability
📘A DISSERTATION SUBMITTED TO THE FACULTY OF THE GRADUATE SCHOOL OF THE UNIVERSITY OF MINNESOTA
🗓Publish year: 2018
📎Study dissertation
📱Channel: @ComplexNetworkAnalysis
#dissertation #scalability
🎞 A GENTLE INTRODUCTION TO THE WORLD OF NETWORK SCIENCE
💥Free recorded webinar by Pedro Ribeiro
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📱Channel: @ComplexNetworkAnalysis
#video #networks_science
💥Free recorded webinar by Pedro Ribeiro
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📱Channel: @ComplexNetworkAnalysis
#video #networks_science
YouTube
DaSSWeb - 'A GENTLE INTRODUCTION TO THE WORLD OF NETWORK SCIENCE'
Pedro Ribeiro
Assistant Professor at the University of Porto
Assistant Professor at the University of Porto
👍1
📄Multilayer Networks in a Nutshell
📘Journal: Annual Review of Condensed Matter Physics (I.F=23.978)
🗓Publish year: 2018
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Multilayer_Networks
📘Journal: Annual Review of Condensed Matter Physics (I.F=23.978)
🗓Publish year: 2018
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Multilayer_Networks
🎞 An Introduction to Social Network Analysis: Part 1
💥Free recorded workshop on Social Network Analysis (SNA)
💥 Part 1 of the workshop provides an introduction to social network concepts, theories, and substantive problems. A brief history of SNA is given
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📱Channel: @ComplexNetworkAnalysis
#video
💥Free recorded workshop on Social Network Analysis (SNA)
💥 Part 1 of the workshop provides an introduction to social network concepts, theories, and substantive problems. A brief history of SNA is given
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📱Channel: @ComplexNetworkAnalysis
#video
📄Open Graph Benchmark: Datasets for Machine Learning on Graphs
💥Advances in Neural Information Processing Systems 33 (NeurIPS 2020)
🗓Publish year: 2020
📎 Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Machine_Learning #Graphs
💥Advances in Neural Information Processing Systems 33 (NeurIPS 2020)
🗓Publish year: 2020
📎 Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Machine_Learning #Graphs
👍1