🎞 An Introduction to Social Network Analysis in Psychology
💥This webinar explains what social networks are and what types of psychological questions can be addressed with this methodology
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #webinar #Psychology
💥This webinar explains what social networks are and what types of psychological questions can be addressed with this methodology
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #webinar #Psychology
YouTube
Webinar: An Introduction to Social Network Analysis in Psychology
In this webinar, Dr. Joanna Weill (then a Ph.D. Candidate) provides an overview of Social Network Analysis, a methodology for collecting and analyzing data, and a way of learning about the world that focuses on the relationships between people. This webinar…
📄Modularity in Biological Networks
📘Journal: Frontiers in Genetics (I.F= 4.772 )
🗓Publish year: 2021
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#review #modularity
📘Journal: Frontiers in Genetics (I.F= 4.772 )
🗓Publish year: 2021
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#review #modularity
2020_Complex_spatial_networks_Theory_and_geospatial_applications.pdf
2.2 MB
📄Complex spatial networks: Theory and geospatial applications
📘Journal: Geography Compass (I.F= 4.833)
🗓Publish year: 2020
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📲Channel: @ComplexNetworkAnalysis
#paper #geospatial
📘Journal: Geography Compass (I.F= 4.833)
🗓Publish year: 2020
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #geospatial
📄Graph Theory: A Comprehensive Survey about Graph Theory Applications in Computer Science and Social Networks
📘Journal: Multidisciplinary Digital Publishing Institute
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Applications #survey
📘Journal: Multidisciplinary Digital Publishing Institute
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Applications #survey
📄Cyberbullying Detection in Social Networks: A Survey
📘Conference: 2nd International Conference on Communication & Information Processing (ICCIP) 2020
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Cyberbullying #survey
📘Conference: 2nd International Conference on Communication & Information Processing (ICCIP) 2020
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Cyberbullying #survey
The_Practitioner’s_Guide_To_Graph_Data_Applying_Graph_Thinking_And.pdf
25.4 MB
📘 The Practitioner's Guide to Graph Data: Applying Graph Thinking and Graph Technologies to Solve Complex Problems
🗓Publish year: 2020
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📱Channel: @ComplexNetworkAnalysis
#book
🗓Publish year: 2020
📎 Study the book
📱Channel: @ComplexNetworkAnalysis
#book
Forwarded from Bioinformatics
💥Good tutorial of Cytoscape for biological network visualization
📕 An Introduction to Network Analysis and Cytoscape
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📲Channel: @Bioinformatics
📕 An Introduction to Network Analysis and Cytoscape
🌐 Study the article
📲Channel: @Bioinformatics
👍4
2018-Animal Social Networks.pdf
340.1 KB
📄Animal Social Networks
📘Journal: Reference Module in Life Sciences (I.F= 6.780 )
🗓Publish year: 2018
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper
📘Journal: Reference Module in Life Sciences (I.F= 6.780 )
🗓Publish year: 2018
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper
👍1
📄Exploring and Analyzing Network Data with Python
💥Technical paper
💥A brief introduction with examples by python
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #python #code #NetworkX
💥Technical paper
💥A brief introduction with examples by python
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #python #code #NetworkX
programminghistorian.org
Exploring and Analyzing Network Data with Python
This lesson introduces network metrics and how to draw conclusions from them when working with humanities data. You will learn how to use the NetworkX Python package to produce and work with the...
👍5
📄Just like humans, dolphins have complex social networks
💥They may not be on Facebook or Twitter, but dolphins do, in fact, form highly complex and dynamic networks of friends, according to a recent study. Dolphins are known for being highly social animals, and biologists took a closer look at the interactions between bottlenose dolphins in the Indian River Lagoon and discovered how they mingle and with whom they spend their time.
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#news
💥They may not be on Facebook or Twitter, but dolphins do, in fact, form highly complex and dynamic networks of friends, according to a recent study. Dolphins are known for being highly social animals, and biologists took a closer look at the interactions between bottlenose dolphins in the Indian River Lagoon and discovered how they mingle and with whom they spend their time.
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#news
ScienceDaily
Just like humans, dolphins have complex social networks
They may not be on Facebook or Twitter, but dolphins do, in fact, form highly complex and dynamic networks of friends, according to a recent study. Dolphins are known for being highly social animals, and biologists took a closer look at the interactions between…
📄Centrality metrics in dynamic networks: a comparison study
📘Journal: IEEE Transactions on network science and engineering (I.F: 5.033)
🗓Publish year: 2018
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📲Channel: @ComplexNetworkAnalysis
#paper
📘Journal: IEEE Transactions on network science and engineering (I.F: 5.033)
🗓Publish year: 2018
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper
👍2
🎞 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
📽 Watch
📲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
🌐 Study
📲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