📄Quantitative analysis of trade networks: data and robustness
📘Journal: Applied Network Science (I.F=2.65)
🗓Publish year: 2021
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper
📘Journal: Applied Network Science (I.F=2.65)
🗓Publish year: 2021
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper
📄Knowledge Graph Mining: A Survey of Methods, Approaches, and Applications
🗓Publish year: 2020
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #survey #application
🗓Publish year: 2020
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #survey #application
📄Complex Network Approach to International Trade of Fossil Fuel
📘Journal: world academy of science
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Trade
📘Journal: world academy of science
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Trade
👍1
2019_Community Detection in Social Networks.pdf
740.2 KB
📄Community Detection in Social Networks: Literature Review
📘Journal: Journal of Information & Knowledge Management
🗓Publish year: 2019
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #review
📘Journal: Journal of Information & Knowledge Management
🗓Publish year: 2019
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #review
🎞 Network models
💥Free recorded Lecture by Prof. Leonid Zhukov, Ilya Makarov.
💥Barabasi-Albert model. Preferential attachement. Time evolition of node degrees. Node degree distribution. Average path length and clustering coefficient. Small world model. Watts-Strogats model. Transition from ragular to random. Clustering coefficient and ave path lenght.
📽 Watch
📑 Lecture
📲Channel: @ComplexNetworkAnalysis
#video #Lecture
💥Free recorded Lecture by Prof. Leonid Zhukov, Ilya Makarov.
💥Barabasi-Albert model. Preferential attachement. Time evolition of node degrees. Node degree distribution. Average path length and clustering coefficient. Small world model. Watts-Strogats model. Transition from ragular to random. Clustering coefficient and ave path lenght.
📽 Watch
📑 Lecture
📲Channel: @ComplexNetworkAnalysis
#video #Lecture
YouTube
Lecture 4. Network models.
Network Science 2021 @ HSE
http://www.leonidzhukov.net/hse/2021/networks/
http://www.leonidzhukov.net/hse/2021/networks/
👍1
👨🎓Research Fellow / Postdoc positions in Complex Networks and Brain Dynamics
(Institute of Computer Science, Czech Academy of Sciences)
💥They looking for new team members to join the Complex Networks and Brain Dynamics group to work on its interdisciplinary projects. The group is part of the Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences.
ℹ️ How to apply
📲Channel: @ComplexNetworkAnalysis
#apply #postdoc
(Institute of Computer Science, Czech Academy of Sciences)
💥They looking for new team members to join the Complex Networks and Brain Dynamics group to work on its interdisciplinary projects. The group is part of the Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences.
ℹ️ How to apply
📲Channel: @ComplexNetworkAnalysis
#apply #postdoc
👍1
🎤Next In Marketing S2 E3: Aaron Braxton, VP, Head of Business Intelligence, Complex Networks
💥Free recorded interview by Aaron Braxton, Vice President, Head of Business Intelligence at Complex Networks.
💥They talks about how even as his company is eyeing industry-wide attempts at replacing the cookie, such as the Trade Desk’s Unified ID initiative, publishers need to start taking audience intelligence into their own hands.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #interview
💥Free recorded interview by Aaron Braxton, Vice President, Head of Business Intelligence at Complex Networks.
💥They talks about how even as his company is eyeing industry-wide attempts at replacing the cookie, such as the Trade Desk’s Unified ID initiative, publishers need to start taking audience intelligence into their own hands.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #interview
👍1
2018-The evolution of oil trade A complex network approach.pdf
868.7 KB
📄The evolution of oil trade: A complex network approach
📘Published online by Cambridge University Press
🗓Publish year: 2018
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #trade
📘Published online by Cambridge University Press
🗓Publish year: 2018
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #trade
📄Centrality Measures in Complex Networks: A Survey
🗓Publish year: 2020
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #survey #centrality
🗓Publish year: 2020
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #survey #centrality
🎞 Statistical analysis of networks
💥Free recorded Lecture by Prof. Gesine Reinert in University of Oxford.
💥Networks have become increasingly popular as representations of complex data. How can we make sense of such data? The first class will cover some network summaries and some parametric models for networks, while the second class concerns statistical inference using these network summaries as well as parametric models. We shall also cover some nonparametric ideas.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #Lecture
💥Free recorded Lecture by Prof. Gesine Reinert in University of Oxford.
💥Networks have become increasingly popular as representations of complex data. How can we make sense of such data? The first class will cover some network summaries and some parametric models for networks, while the second class concerns statistical inference using these network summaries as well as parametric models. We shall also cover some nonparametric ideas.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #Lecture
YouTube
Statistical analysis of networks - Professor Gesine Reinert, University of Oxford
Networks have become increasingly popular as representations of complex data. How can we make sense of such data? The first class will cover some network summaries and some parametric models for networks, while the second class concerns statistical inference…
📄Effect of network topology and node centrality on trading
📘Journal: scientific reports (I.F=4.379)
🗓Publish year: 2019
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #trade #centrality
📘Journal: scientific reports (I.F=4.379)
🗓Publish year: 2019
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #trade #centrality
👍1
🎞 Network-Based Modeling of Complex Systems
💥Free recorded Lecture by Dr. Fatena El-Masri from QuantCon 2018
💥This talk, noscriptd Network-based Modeling of Complex Systems, with Applications to Cascading and Contagion Events in Networks, looks at how network-based modeling can be used to analyze cascading and contagious events in financial networks. Dr. El-Masri’s research started with the simulation of 63 million records to determine the network and dynamic connectivity between different banks. This connectivity is determined by transforming the adjacency matrix for the data using Python. The agent-based model is then applied using dynamic modeling and validated using real data. The results are then implemented using network-based modeling for complex financial institutions to discover the cascading and contagious event behavior in the networks.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #Lecture
💥Free recorded Lecture by Dr. Fatena El-Masri from QuantCon 2018
💥This talk, noscriptd Network-based Modeling of Complex Systems, with Applications to Cascading and Contagion Events in Networks, looks at how network-based modeling can be used to analyze cascading and contagious events in financial networks. Dr. El-Masri’s research started with the simulation of 63 million records to determine the network and dynamic connectivity between different banks. This connectivity is determined by transforming the adjacency matrix for the data using Python. The agent-based model is then applied using dynamic modeling and validated using real data. The results are then implemented using network-based modeling for complex financial institutions to discover the cascading and contagious event behavior in the networks.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #Lecture
YouTube
Network-Based Modeling of Complex Systems by Dr. Fatena El-Masri from QuantCon 2018
This talk, noscriptd Network-based Modeling of Complex Systems, with Applications to Cascading and Contagion Events in Networks, looks at how network-based modeling can be used to analyze cascading and contagious events in financial networks. Dr. El-Masri’s…
Forwarded from Bioinformatics
💻 Deep Learning for Biological network analysis
https://academic.oup.com/bib/article/22/2/1515/5964185
📲Channel: @Bioinformatics
https://academic.oup.com/bib/article/22/2/1515/5964185
📲Channel: @Bioinformatics
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👨🎓Postdoctoral/Research Fellow position in complex network analysis: Critical events detection
(Institute of Computer Science, Czech Academy of Sciences)
💥Postdoc or research fellow position is available to join the Complex Networks and Brain Dynamics group for the project: “Modelling and analysis of complex systems for safety of critical infrastructures“ as part of the National Center of Competence – Cybernetics and Artificial Intelligence funded by the Technology Agency of the Czech Republic, and related projects.
ℹ️ How to apply
📲Channel: @ComplexNetworkAnalysis
#apply #postdoc
(Institute of Computer Science, Czech Academy of Sciences)
💥Postdoc or research fellow position is available to join the Complex Networks and Brain Dynamics group for the project: “Modelling and analysis of complex systems for safety of critical infrastructures“ as part of the National Center of Competence – Cybernetics and Artificial Intelligence funded by the Technology Agency of the Czech Republic, and related projects.
ℹ️ How to apply
📲Channel: @ComplexNetworkAnalysis
#apply #postdoc
🎞 Social Network Analysis: Structural Holes, Brokerage & Closure
💥In this free recorded video we’ll learn structural holes.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #SocialNetwork
💥In this free recorded video we’ll learn structural holes.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #SocialNetwork
YouTube
Social Network Analysis: Structural Holes, Brokerage & Closure
In this video, we’ll learn structural holes. Last week, we introduced a classic theory of strength of weak ties. This week we’ll introduce a similar school of thought but with different constructs of structural holes, brokerage, and closure. Those constructs…
📄Temporal Knowledge Graph Completion: A Survey
🗓Publish year: 2022
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #survey
🗓Publish year: 2022
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #survey
📄Machine Learning in Network Centrality Measures: Tutorial and Outlook
📘Journal: ACM Computing Surveys (I.F=10.282)
🗓Publish year: 2019
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #tutorial #centrality
📘Journal: ACM Computing Surveys (I.F=10.282)
🗓Publish year: 2019
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #tutorial #centrality
🎞 Social Network Analysis || 01 3A degree betweenness closeness 26 41
💥Free recorded tutorial.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #SocialNetwork
💥Free recorded tutorial.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #SocialNetwork
YouTube
Social Network Analysis || 01 3A degree betweenness closeness 26 41
Please subscribe to this channel for more updates!
👍1
2020_A_Survey_on_Machine_Learning_Methodologies_in_Social_Network.pdf
249 KB
📄A Survey on Machine Learning Methodologies in Social Network Analysis
📘Conference: 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
🗓Publish year: 2020
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #survey
📘Conference: 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
🗓Publish year: 2020
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #survey
👍3
📄Python Interactive Network Visualization Using NetworkX, Plotly, and Dash
💥 Technical paper
🗓Publish year: 2019
📎Study
📲Channel: @ComplexNetworkAnalysis
#paper #python #code
💥 Technical paper
🗓Publish year: 2019
📎Study
📲Channel: @ComplexNetworkAnalysis
#paper #python #code
Medium
Python Interactive Network Visualization Using NetworkX, Plotly, and Dash
They say a graph is more than a thousand words. I totally agree with it. I would prefer to look at a network graph, rather than reading…