Forwarded from Bioinformatics
πApplication of social network analysis to COVID-19 data
π Read the paper
π²Channel: @Bioinformatics
π Read the paper
π²Channel: @Bioinformatics
π1
2021_A_Review_on_Social_Network_Analysis_Methods_and_Algorithms.pdf
4 MB
πA Review on Social Network Analysis Methods and Algorithms
πConference: 13th International Conference on Computational Intelligence and Communication Networks
πPublish year: 2021
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #review
πConference: 13th International Conference on Computational Intelligence and Communication Networks
πPublish year: 2021
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #review
πThe functional complex network approach to foster forest resilience to global changes
πJournal: Forest Ecosystems (I.F=3.645)
πPublish year: 2019
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πJournal: Forest Ecosystems (I.F=3.645)
πPublish year: 2019
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πDynamic Properties of Foreign Exchange Complex Network
πJournal: Mathematics (I.F=1.42)
πPublish year: 2019
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πJournal: Mathematics (I.F=1.42)
πPublish year: 2019
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
π1
πNetwork approaches for modeling the effect of drugs and diseases
πJournal: Briefings in Bioinformatics (I.F=11.9)
πPublish year: 2022
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πJournal: Briefings in Bioinformatics (I.F=11.9)
πPublish year: 2022
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πComparing methods for comparing networks
πJournal:Scientific Reports (I.F=4.379)
πPublish year: 2019
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πJournal:Scientific Reports (I.F=4.379)
πPublish year: 2019
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πThe Complex Network Theory-Based Urban Land-Use and Transport Interaction Studies
πJournal: hindawi (I.F=2.83)
πPublish year: 2019
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πJournal: hindawi (I.F=2.83)
πPublish year: 2019
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
π Community Detection in Networks: Algorithms, Complexity, and Information Limits
π₯Free recorded lecture from University of Illinois at Urbana-Champaign.
π½ Watch
π²Channel: @ComplexNetworkAnalysis
#video #Community_Detection
π₯Free recorded lecture from University of Illinois at Urbana-Champaign.
π½ Watch
π²Channel: @ComplexNetworkAnalysis
#video #Community_Detection
YouTube
Community Detection in Networks: Algorithms, Complexity, and Information Limits
Detecting or estimating a dense community from a network graph offers a rich set of problems involving the interplay of algorithms, complexity, and information limits. The speaker in his talk will present an overview and recent results on the topic.
Speakerβ¦
Speakerβ¦
π Introduction to Social Network Analysis [5/5]: Complex Situations
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 [5/5]: Complex Situations
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¦
πNetwork analysis of a complex disease: the gut microbiota
in the infammatory bowel disease case
πPhD's thesis from IMT School for Advanced Studies, Lucca, Italy
πPublish year: 2022
πStudy thesis
π²Channel: @ComplexNetworkAnalysis
#thesis
in the infammatory bowel disease case
πPhD's thesis from IMT School for Advanced Studies, Lucca, Italy
πPublish year: 2022
πStudy thesis
π²Channel: @ComplexNetworkAnalysis
#thesis
π Community detection in graphs (Alex Levin, PyData TLV - Oct 21)
π₯Free recorded lecture
π½ Watch
π²Channel: @ComplexNetworkAnalysis
#video #Community_Detection
π₯Free recorded lecture
π½ Watch
π²Channel: @ComplexNetworkAnalysis
#video #Community_Detection
YouTube
Community detection in graphs (Alex Levin, PyData TLV - Oct 21)
Community detection is a key tool in order to understand the structure of the graph. In this talk we will go over 2 popular algorithms (Louvain & BigCLAM), we will learn their theory and also see code examples..
πA network analysis of research on African agricultural development
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #agricultural
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #agricultural
πModularity Explained: A Metric for Community Detection in Graphs
π₯Free recorded lecture
π½ Watch
π slides
π²Channel: @ComplexNetworkAnalysis
#video #Community_Detection
π₯Free recorded lecture
π½ Watch
π slides
π²Channel: @ComplexNetworkAnalysis
#video #Community_Detection
YouTube
Modularity Explained: A Metric for Community Detection in Graphs
You can find the slides here: https://docs.google.com/presentation/d/1FiIPhd64LzqSeZ1axb7MKBTjkjMsF5bjqljIKrx8k18/edit?usp=sharing
πSocial network extraction based on Web: A Review about Supervised Methods
πjournal: Journal of Physics: Conference Series
πPublish year: 2021
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #review
πjournal: Journal of Physics: Conference Series
πPublish year: 2021
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #review
π1
2017_A_Survey_of_Online_Social_Networks_Challenges_and_Opportunities.pdf
269 KB
πA Survey of Online Social Networks: Challenges and Opportunities
πConference: 2017 IEEE International Conference on Information Reuse and Integration (IRI)
πPublish year: 2017
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #survey
πConference: 2017 IEEE International Conference on Information Reuse and Integration (IRI)
πPublish year: 2017
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #survey
πQuantitative analysis of trade networks: data and robustness
πJournal: Applied Network Science (I.F=2.65)
πPublish year: 2021
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πJournal: Applied Network Science (I.F=2.65)
πPublish year: 2021
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper
πKnowledge Graph Mining: A Survey of Methods, Approaches, and Applications
πPublish year: 2020
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #survey #application
πPublish year: 2020
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #survey #application
πComplex Network Approach to International Trade of Fossil Fuel
πJournal: world academy of science
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Trade
πJournal: world academy of science
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Trade
π1
2019_Community Detection in Social Networks.pdf
740.2 KB
πCommunity Detection in Social Networks: Literature Review
πJournal: Journal of Information & Knowledge Management
πPublish year: 2019
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #review
πJournal: Journal of Information & Knowledge Management
πPublish year: 2019
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #review
π Network models
π₯Free recorded Lecture by Prof. Leonid Zhukov, Ilya Makarov.
π₯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.
π½ Watch
π Lecture
π²Channel: @ComplexNetworkAnalysis
#video #Lecture
π₯Free recorded Lecture by Prof. Leonid Zhukov, Ilya Makarov.
π₯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.
π½ Watch
π Lecture
π²Channel: @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/
π1