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📄Graph Neural Networks: a bibliometrics overview
📘Journal: Machine Learning with Applications (MLWA)
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #overview
🎞 Introduction to Static Complex Networks
💥Free recorded course by Professor Stephen Lansing
💥This course explores the features of complexity science. Our world is connected by an abundance of complex systems. Across all levels of organizations from physical, biological world to the social world, we may think of the connectivity between individual elements and how they interact and influence each other. For example, how humans transmit pandemics within a group, how cars interact in the traffic system and how networks connect in governmental organizations. Although these systems are diverse and different, they have surprisingly huge features in common. In the past several decades, the study of complexity science has been increasing. It is widely acknowledged that an innovative, integrated and analytical way of thinking is essential for understanding the complex issues in the human societies. In this course, we will aim to give everyone a comprehensive introduction of the complex systems, to talk about the resilience, robustness and sustainability of the systems and to learn basic mathematical methods for complex system analysis, for example regime shifts and tipping points, the agent-based modelling, the dynamic and network theories. Most importantly, we will implement the theories into practical applications of cities and health to help students gain practice in complex systems way of thinking.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #course
📄Implement Louvain Community Detection Algorithm using Python and Gephi with visualization
💥Technical paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection #Gephi #Louvain #code #python
🎞 Multi-agent models in complex networks
💥Free recorded Lecture by Pablo Balenzuela (University of Buenos Aires, Argentina)
📽 Watch: part1 part2 part3 part4
📲Channel: @ComplexNetworkAnalysis
#video #Lecture
📄Community Detection Methods in Social Network Analysis
📘Journal: Journal of Computational and Theoretical Nanoscience (I.F=0.488)
🗓Publish year: 2014
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection
🎞 Modeling epidemics on complex networks
💥Free recorded Lecture in Department of Computer Science IIL Ropar
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #Lecture
📄A Review on Graph Theory in Network and Artificial Intelligence
📘Conference: International Conference on Robotics and Artificial Intelligence (RoAI) 2020 28-29 December 2020, Chennai, India
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #review #Artificial_Intelligence
📄Community Detection Algorithms
💥Technical paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection
+1📄Bipartite Graphs as Models of Complex Networks
🗓Publish year: 2021
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper
📄A Review of Graph and Network Complexity from an Algorithmic Information Perspective
📘Journal: Entropy (I.F=2.738)
🗓Publish year: 2018
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #review
📄Community detection in node-attributed social networks: a survey
🗓Publish year: 2020
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection #survey
📄Statistical Network Analysis: A Review with Applications to the Coronavirus Disease 2019 Pandemic
📘Journal: International Statistical Institute (I.F=1.946)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #review #Applications #Coronavirus
📄Graph neural networks: A review of methods and applications
📘Journal: AI Open
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #review #applications
📄Deep Learning for Community Detection: Progress, Challenges and Opportunities
📘Conference: Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}
🗓Publish year: 2020
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection #DeepLearning
🎞 Introduction to Graph Computing
💥Free recorded Lecture by Prof. Yadong Li
💥Graph computing is an innovative technology that allows developers to build applications and systems as directed acyclic graphs (DAGs). Graph computing offers generic solutions to some of the most fundamental challenges in enterprise computing such as scalability, transparency and lineage. In this workshop, we survey the available graph computing tools in Julia, then walk through a few hands-on examples of building real world applications and systems using graph computing.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #Lecture
📄Community detection in complex networks: From statistical foundations to data science applications
📘Journal: WIREs Computational Statistics (I.F:3.282)
🗓Publish year: 2021
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection
📄On community structure in complex networks: challenges and opportunities
📘Journal: Applied Network Science (I.F: 2.65)
🗓Publish year: 2019
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper
📑Graph Theory and Social Networks
📔Booklet: Kimball Martin
🗓Publish year: 2014
📲Channel: @ComplexNetworkAnalysis
#Booklet #Python #code
📄Children’s Social Networks and Well-Being
🗓Publish year: 2014
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Well_Being
📄Nature inspired link prediction and community detection algorithms for social networks: a survey
📘Journal: International Journal of System Assurance Engineering and Management (I.F: 2.02)
🗓Publish year: 2021
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #survey
