📄The Complex Network Theory-Based Urban Land-Use and Transport Interaction Studies

📘Journal: hindawi (I.F=2.83)

🗓Publish year: 2019

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper

🎞 Community Detection in Networks: Algorithms, Complexity, and Information Limits

💥Free recorded lecture from University of Illinois at Urbana-Champaign.

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📲Channel: @ComplexNetworkAnalysis

#video #Community_Detection

🎞 Introduction to Social Network Analysis [5/5]: Complex Situations

💥Free recorded workshop by Martin Grandjean (Université de Lausanne) at the Conference HNR+ResHist2021 Conference "Historical Networks - Réseaux Historiques - Historische Netzwerke co-organised by HNR and ResHist.

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📲Channel: @ComplexNetworkAnalysis

#video #workshop

🎓Network analysis of a complex disease: the gut microbiota
in the infammatory bowel disease case

📘PhD's thesis from IMT School for Advanced Studies, Lucca, Italy

🗓Publish year: 2022

📎Study thesis

📲Channel: @ComplexNetworkAnalysis
#thesis

🎞 Community detection in graphs (Alex Levin, PyData TLV - Oct 21)

💥Free recorded lecture

📽 Watch

📲Channel: @ComplexNetworkAnalysis

#video #Community_Detection

📄A network analysis of research on African agricultural development

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #agricultural

🎞Modularity Explained: A Metric for Community Detection in Graphs

💥Free recorded lecture

📽 Watch

📄 slides

📲Channel: @ComplexNetworkAnalysis

#video #Community_Detection

📄Social network extraction based on Web: A Review about Supervised Methods

📘journal: Journal of Physics: Conference Series

🗓Publish year: 2021

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #review

📄A Survey of Online Social Networks: Challenges and Opportunities

📘Conference: 2017 IEEE International Conference on Information Reuse and Integration (IRI)

🗓Publish year: 2017

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #survey

📄Quantitative analysis of trade networks: data and robustness

📘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

📄Complex Network Approach to International Trade of Fossil Fuel

📘Journal: world academy of science

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #Trade

📄Community Detection in Social Networks: Literature 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.

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📑 Lecture

📲Channel: @ComplexNetworkAnalysis

#video #Lecture

🎤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.

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📲Channel: @ComplexNetworkAnalysis

#video #interview

📄The evolution of oil trade: A complex network approach

📘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

🎞 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.

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📲Channel: @ComplexNetworkAnalysis

#video #Lecture