πEffect of network topology and node centrality on trading
πJournal: scientific reports (I.F=4.379)
πPublish year: 2019
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #trade #centrality
πJournal: scientific reports (I.F=4.379)
πPublish year: 2019
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #trade #centrality
π1
π Network-Based Modeling of Complex Systems
π₯Free recorded Lecture by Dr. Fatena El-Masri from QuantCon 2018
π₯This talk, titled 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-Masriβs 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.
π½ Watch
π²Channel: @ComplexNetworkAnalysis
#video #Lecture
π₯Free recorded Lecture by Dr. Fatena El-Masri from QuantCon 2018
π₯This talk, titled 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-Masriβs 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.
π½ Watch
π²Channel: @ComplexNetworkAnalysis
#video #Lecture
YouTube
Network-Based Modeling of Complex Systems by Dr. Fatena El-Masri from QuantCon 2018
This talk, titled 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-Masriβsβ¦
Forwarded from Bioinformatics
π» Deep Learning for Biological network analysis
https://academic.oup.com/bib/article/22/2/1515/5964185
π²Channel: @Bioinformatics
https://academic.oup.com/bib/article/22/2/1515/5964185
π²Channel: @Bioinformatics
π2
π¨βπPostdoctoral/Research Fellow position in complex network analysis: Critical events detection
(Institute of Computer Science, Czech Academy of Sciences)
π₯Postdoc or research fellow position is available to join the Complex Networks and Brain Dynamics group for the project: βModelling and analysis of complex systems for safety of critical infrastructuresβ as part of the National Center of Competence β Cybernetics and Artificial Intelligence funded by the Technology Agency of the Czech Republic, and related projects.
βΉοΈ How to apply
π²Channel: @ComplexNetworkAnalysis
#apply #postdoc
(Institute of Computer Science, Czech Academy of Sciences)
π₯Postdoc or research fellow position is available to join the Complex Networks and Brain Dynamics group for the project: βModelling and analysis of complex systems for safety of critical infrastructuresβ as part of the National Center of Competence β Cybernetics and Artificial Intelligence funded by the Technology Agency of the Czech Republic, and related projects.
βΉοΈ How to apply
π²Channel: @ComplexNetworkAnalysis
#apply #postdoc
π Social Network Analysis: Structural Holes, Brokerage & Closure
π₯In this free recorded video weβll learn structural holes.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #SocialNetwork
π₯In this free recorded video weβll learn structural holes.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #SocialNetwork
YouTube
Social Network Analysis: Structural Holes, Brokerage & Closure
In this video, weβll learn structural holes. Last week, we introduced a classic theory of strength of weak ties. This week weβll introduce a similar school of thought but with different constructs of structural holes, brokerage, and closure. Those constructsβ¦
πTemporal Knowledge Graph Completion: A Survey
πPublish year: 2022
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #survey
πPublish year: 2022
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #survey
πMachine Learning in Network Centrality Measures: Tutorial and Outlook
πJournal: ACM Computing Surveys (I.F=10.282)
πPublish year: 2019
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #tutorial #centrality
πJournal: ACM Computing Surveys (I.F=10.282)
πPublish year: 2019
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #tutorial #centrality
π Social Network Analysis || 01 3A degree betweenness closeness 26 41
π₯Free recorded tutorial.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #SocialNetwork
π₯Free recorded tutorial.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #SocialNetwork
YouTube
Social Network Analysis || 01 3A degree betweenness closeness 26 41
Please subscribe to this channel for more updates!
π1
2020_A_Survey_on_Machine_Learning_Methodologies_in_Social_Network.pdf
249 KB
πA Survey on Machine Learning Methodologies in Social Network Analysis
πConference: 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
πPublish year: 2020
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #survey
πConference: 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
πPublish year: 2020
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #survey
π3
πPython Interactive Network Visualization Using NetworkX, Plotly, and Dash
π₯ Technical paper
πPublish year: 2019
πStudy
π²Channel: @ComplexNetworkAnalysis
#paper #python #code
π₯ Technical paper
πPublish year: 2019
πStudy
π²Channel: @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 readingβ¦
π Node centrality and ranking on networks
π₯Free recorded Lecture by Prof. Leonid Zhukov, Ilya Makarov.
π₯Node centrality metrics, degree centrality, closeness centrality, betweenness centrality, eigenvector centrality. Katz status index. Directed graphs. PageRank, Perron-Frobenius theorem and algorithm convergence. Power iterations. Hubs and Authorites. HITS algorithm.
π½ Watch
π Lecture
π²Channel: @ComplexNetworkAnalysis
#video #Lecture #centrality
π₯Free recorded Lecture by Prof. Leonid Zhukov, Ilya Makarov.
π₯Node centrality metrics, degree centrality, closeness centrality, betweenness centrality, eigenvector centrality. Katz status index. Directed graphs. PageRank, Perron-Frobenius theorem and algorithm convergence. Power iterations. Hubs and Authorites. HITS algorithm.
π½ Watch
π Lecture
π²Channel: @ComplexNetworkAnalysis
#video #Lecture #centrality
YouTube
Lecture 5. Node centrality and ranking on networks.
Network Science 2021 @ HSE
http://www.leonidzhukov.net/hse/2021/networks/
http://www.leonidzhukov.net/hse/2021/networks/
π1
2019_Survey on Social Networks Data Analysis.pdf
326.3 KB
πSurvey on Social Networks Data Analysis
πConference: International Conference on Innovations for Community Services
πPublish year: 2019
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #survey
πConference: International Conference on Innovations for Community Services
πPublish year: 2019
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #survey
πSocial Network Analysis: A Survey on Measure, Structure, Language Information Analysis, Privacy, and Applications
πJournal: ACM Transactions on Asian and Low-Resource Language Information Processing
πPublish year: 2022
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #survey #application
πJournal: ACM Transactions on Asian and Low-Resource Language Information Processing
πPublish year: 2022
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #survey #application
πA survey of Big Data dimensions vs Social Networks analysis
πJournal:Journal of Intelligent Information Systems(I.F=1.888)
πPublish year: 2020
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #survey
πJournal:Journal of Intelligent Information Systems(I.F=1.888)
πPublish year: 2020
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #survey
π¨βπPostdoctoral / Junior Scientist position in complex networks and information theory
(Institute of Computer Science, Czech Academy of Sciences)
π₯A postdoc or junior scientist position is available to join the Complex Networks and Brain Dynamics group for the project: βNetwork modelling of complex systems: from correlation graphs to information hypergraphsβ funded by the Czech Science Foundation.
βΉοΈ How to apply
π²Channel: @ComplexNetworkAnalysis
#apply #postdoc
(Institute of Computer Science, Czech Academy of Sciences)
π₯A postdoc or junior scientist position is available to join the Complex Networks and Brain Dynamics group for the project: βNetwork modelling of complex systems: from correlation graphs to information hypergraphsβ funded by the Czech Science Foundation.
βΉοΈ How to apply
π²Channel: @ComplexNetworkAnalysis
#apply #postdoc
πCounting Graphlets: Space vs Time
πConferences : Proceedings of the Tenth ACM International Conference on Web Search and Data Mining
πPublish year: 2017
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πConferences : Proceedings of the Tenth ACM International Conference on Web Search and Data Mining
πPublish year: 2017
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
2018_Study_on_centrality_measures_in_social_networks_a_survey.pdf
981.7 KB
πStudy on centrality measures in social networks: a survey
πJournal: Social Network Analysis and Mining
πPublish year: 2018
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #survey #centrality
πJournal: Social Network Analysis and Mining
πPublish year: 2018
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #survey #centrality
π1
π Introduction to Data Science - NetworkX Tutorial
π₯Free recorded tutorial.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #tutorial
π₯Free recorded tutorial.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #tutorial
YouTube
Introduction to Data Science - NetworkX Tutorial
Link to GitHub: https://github.com/sepinouda/Intro_to_Data_Science/tree/main/Lecture%204/Network%20Analysis
Linke to NetworkX Tutorials: https://networkx.org/documentation/stable/tutorial.html
Link to Gephi: https://gephi.org
Linke to NetworkX Tutorials: https://networkx.org/documentation/stable/tutorial.html
Link to Gephi: https://gephi.org
π1
πBiological network comparison using graphlet degree distribution
πJournal: bioinformatics (I.F=6.937)
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πJournal: bioinformatics (I.F=6.937)
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
2019_Using_social_network_analysis_to_complete_literature_reviews.pdf
2 MB
πUsing social network analysis to complete literature reviews: a new systematic approach for independent researchers to detect and interpret prominent research programs within large collections of relevant literature
πJournal: International Journal of Social Research Methodology
πPublish year: 2019
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #review
πJournal: International Journal of Social Research Methodology
πPublish year: 2019
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #review
πGraph theory methods: applications in brain networks
πJournal: Dialogues in Clinical Neuroscience (I.F=5.986)
πPublish year: 2022
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #brain
πJournal: Dialogues in Clinical Neuroscience (I.F=5.986)
πPublish year: 2022
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #brain