🎞 Using NetLogo: Complex Problem Solving in Networks
💥Free recorded Lecture
💥How do revolutions emerge without anyone expecting them? How did social norms about same sex marriage change more rapidly than anyone anticipated? Why do some social innovations take off with relative ease, while others struggle for years without spreading? More generally, what are the forces that control the process of social evolution –from the fashions that we wear, to our beliefs about religious tolerance, to our ideas about the process of scientific discovery and the best ways to manage complex research organizations? The social world is complex and full of surprises. Our experiences and intuitions about the social world as individuals are often quite different from the behaviors that we observe emerging in large societies. Even minor changes to the structure of a social network - changes that are unobservable to individuals within those networks - can lead to radical shifts in the spread of new ideas and behaviors through a population. These “invisible” mathematical properties of social networks have powerful implications for the ways that teams solve problems, the social norms that are likely to emerge, and even the very future of our society. This course condenses the last decade of cutting-edge research on these topics into six modules. Each module provides an in-depth look at a particular research puzzle -with a focus on agent-based models and network theories of social change -and provides an interactive computational model for you try out and to use for making your own explorations! Learning objectives - after this course, students will be able to... - explain how computer models are used to study challenging social problems - describe how networks are used to represent the structure of social relationships - show how individual actions can lead to unintended collective behaviors - provide concrete examples of how social networks can influence social change - discuss how diffusion processes can explain the growth social movements, changes in cultural norms, and the success of team problem solving
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📲Channel: @ComplexNetworkAnalysis
#video #Lecture #NetLogo
💥Free recorded Lecture
💥How do revolutions emerge without anyone expecting them? How did social norms about same sex marriage change more rapidly than anyone anticipated? Why do some social innovations take off with relative ease, while others struggle for years without spreading? More generally, what are the forces that control the process of social evolution –from the fashions that we wear, to our beliefs about religious tolerance, to our ideas about the process of scientific discovery and the best ways to manage complex research organizations? The social world is complex and full of surprises. Our experiences and intuitions about the social world as individuals are often quite different from the behaviors that we observe emerging in large societies. Even minor changes to the structure of a social network - changes that are unobservable to individuals within those networks - can lead to radical shifts in the spread of new ideas and behaviors through a population. These “invisible” mathematical properties of social networks have powerful implications for the ways that teams solve problems, the social norms that are likely to emerge, and even the very future of our society. This course condenses the last decade of cutting-edge research on these topics into six modules. Each module provides an in-depth look at a particular research puzzle -with a focus on agent-based models and network theories of social change -and provides an interactive computational model for you try out and to use for making your own explorations! Learning objectives - after this course, students will be able to... - explain how computer models are used to study challenging social problems - describe how networks are used to represent the structure of social relationships - show how individual actions can lead to unintended collective behaviors - provide concrete examples of how social networks can influence social change - discuss how diffusion processes can explain the growth social movements, changes in cultural norms, and the success of team problem solving
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #Lecture #NetLogo
Coursera
6.5 Using NetLogo: Complex Problem Solving in Networks - Problem Solving in Networks | Coursera
Video created by University of Pennsylvania for the ...
📄How to model a social network with R
💥Technical paper
💥A brief introduction with examples by R
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📲Channel: @ComplexNetworkAnalysis
#paper #R #code
💥Technical paper
💥A brief introduction with examples by R
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #R #code
Medium
How to model a social network with R
A practical introduction to network theory
👍2
📄A Comprehensive Survey on Community Detection with Deep Learning
📘Journal: IEEE Transactions on Neural Networks and Learning Systems(I.F=14.255)
🗓Publish year: 2021
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📱Channel: @ComplexNetworkAnalysis
#paper #community_detection #deep_learning #survey
📘Journal: IEEE Transactions on Neural Networks and Learning Systems(I.F=14.255)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #community_detection #deep_learning #survey
👍1
2021_Nature_inspired_link_prediction_and_community_detection_algorithms.pdf
1.1 MB
📄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
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📲Channel: @ComplexNetworkAnalysis
#paper #survey #linkPrediction #communityDetection
📘Journal: International Journal of System Assurance Engineering and Management (I.F: 2.02)
🗓Publish year: 2021
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📲Channel: @ComplexNetworkAnalysis
#paper #survey #linkPrediction #communityDetection
📄Children’s Social Networks and Well-Being
🗓Publish year: 2014
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📲Channel: @ComplexNetworkAnalysis
#paper #Well_Being
🗓Publish year: 2014
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Well_Being
Graph Theory and Social Networks.pdf
973.1 KB
📑Graph Theory and Social Networks
📔Booklet: Kimball Martin
🗓Publish year: 2014
📲Channel: @ComplexNetworkAnalysis
#Booklet #Python #code
📔Booklet: Kimball Martin
🗓Publish year: 2014
📲Channel: @ComplexNetworkAnalysis
#Booklet #Python #code
📄On community structure in complex networks: challenges and opportunities
📘Journal: Applied Network Science (I.F: 2.65)
🗓Publish year: 2019
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📲Channel: @ComplexNetworkAnalysis
#paper
📘Journal: Applied Network Science (I.F: 2.65)
🗓Publish year: 2019
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper
👍1
2021_Community_detection_in_complex_networks_From_statistical_foundations.pdf
5 MB
📄Community detection in complex networks: From statistical foundations to data science applications
📘Journal: WIREs Computational Statistics (I.F:3.282)
🗓Publish year: 2021
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📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection
📘Journal: WIREs Computational Statistics (I.F:3.282)
🗓Publish year: 2021
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection
🎞 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.
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📲Channel: @ComplexNetworkAnalysis
#video #Lecture #GraphComputing
💥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 #GraphComputing
YouTube
Introduction to Graph Computing | JuliaCon 2022 | 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…
📄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
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📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection #DeepLearning
📘Conference: Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}
🗓Publish year: 2020
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📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection #DeepLearning
📄Graph neural networks: A review of methods and applications
📘Journal: AI Open
🗓Publish year: 2020
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📱Channel: @ComplexNetworkAnalysis
#paper #review #applications
📘Journal: AI Open
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #review #applications
📄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
📘Journal: International Statistical Institute (I.F=1.946)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #review #Applications #Coronavirus
📄A Review of Graph and Network Complexity from an Algorithmic Information Perspective
📘Journal: Entropy (I.F=2.738)
🗓Publish year: 2018
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📱Channel: @ComplexNetworkAnalysis
#paper #review
📘Journal: Entropy (I.F=2.738)
🗓Publish year: 2018
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📱Channel: @ComplexNetworkAnalysis
#paper #review
📄Bipartite Graphs as Models of Complex Networks
🗓Publish year: 2021
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📲Channel: @ComplexNetworkAnalysis
#paper
🗓Publish year: 2021
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper
📄Community Detection Algorithms
💥Technical paper
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📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection
💥Technical paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection
Medium
Community Detection Algorithms
Many of you are familiar with networks, right? You might be using social media sites such as Facebook, Instagram, Twitter, etc. They are…
📄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
📘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
🎞 Modeling epidemics on complex networks
💥Free recorded Lecture in Department of Computer Science IIL Ropar
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #Lecture
💥Free recorded Lecture in Department of Computer Science IIL Ropar
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #Lecture
YouTube
Modeling epidemics on complex networks
📄Community Detection Methods in Social Network Analysis
📘Journal: Journal of Computational and Theoretical Nanoscience (I.F=0.488)
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection
📘Journal: Journal of Computational and Theoretical Nanoscience (I.F=0.488)
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #CommunityDetection