Network Analysis Resources & Updates
3.06K subscribers
808 photos
163 files
1.12K links
Are you seeking assistance or eager to collaborate?
Don't hesitate to dispatch your insights, inquiries, proposals, promotions, bulletins, announcements, and more to our channel overseer. We're all ears!

Contact: @Questioner2
加入频道
📘 Network Analysis using R

💥free online Ebook

🌐
Study

📲Channel: @ComplexNetworkAnalysis

#ebook #r
📄Introduction to Network Analysis with R

💥
Technical paper

🌐 Study

📲Channel: @ComplexNetworkAnalysis

#paper #R
📄How to model a social network with R

💥
Technical paper

💥A brief introduction with examples by
R

🌐 Study

📲Channel: @ComplexNetworkAnalysis

#paper #R #code
👍2
🎞 Closeness Centrality & Betweenness Centrality: A Social Network Lab in R for Beginners

💥Free recorded course

💥So what then is “closeness” or “betweenness” in a network? How do we figure these things out and how do we interpret them? This video is part of a series where we give you the basic concepts and options, and we walk you through a Lab where you can experiment with designing a network on your own in
R. Hosted by Jonathan Morgan and the Duke University Network Analysis Center.

📽 Watch

📲Channel: @ComplexNetworkAnalysis

#video #course #Closeness_Centrality #Betweenness_Centrality #code #R
🎞 Conducting Network Analysis in R

💥Free recorded webinar
🔹This webinar, which is sponsored by the AED Early Career Special Interest Group (SIG), will provide guidance on how network analysis is a statistical approach that allows for the examination of how components of a network are related to one another.In this webinar, Dr. Cheri Levinson and her advanced graduate student Ms. Irina Vanzhula will provide a brief overview on network theory and analysis. They will then demonstrate how to conduct network analysis in R using sample data.

📽 Watch

📱Channel: @ComplexNetworkAnalysis

#video #R
📕Introduction to R for Data Science: A LISA 2020 Guidebook

📝Authors: Jacob D. Holster

💥This guidebook aims to provide readers an opportunity to make a start towards learning R for a variety of data science tasks, include (a) data cleaning and preparation, (b) statistical analysis, (c) data visualization, (d) natural language processing, (e) network analysis, and (f) Structural Equation Modeling to name a few. In Chapters 1 and 2 we invite readers to install R and RStudio and to start manipulating data for analysis. Chapter 3 and Chapter 4 include introductory exercises to teach data visualization and statistical analysis in R. In Chapter 5 and beyond, you will explore basic analytic concepts (e.g., correlation and regression) and more advanced approaches to data modeling through the lenses of Structural Equation Modeling, Network Analysis, and Text Analysis.

📚Free online guidebook

📖 Study

💻 Code

📲Channel: @ComplexNetworkAnalysis

#book #R #code #video
Social Network Analysis.pdf
2 MB
📕Social Network Analysis

📝Authors: Stéphane Tufféry

💥Social networks are at the heart of big data, with their huge quantities of data of all kinds, text, images, video, and audio. Graphs are used to represent social networks in particular and all networks in general. In many applications of social networks, it is important to identify the most influential individuals. In a graph, the importance of a vertex can be expressed in several ways, the main ones being the degree centrality, the closeness centrality, the betweenness centrality, and prestige. A clique is a graph in which all vertices are connected and a quasi-clique is a group of vertices that are highly connected. A community is a subgraph that is both a quasi-clique and a quasi-connected component.

🗓
publish year: 2022
📖
Study book

📲Channel: @ComplexNetworkAnalysis

#book #R #code
📕Network visualization with R

💥This is a comprehensive tutorial on network visualization with R. It covers data input and formats, visualization basics, parameters and layouts for one-mode and bipartite graphs; dealing with multiplex links, interactive and animated visualization for longitudinal networks; and visualizing networks on geographic maps. To follow the tutorial, download the code and data below and use R and RStudio. You can also check out the most recent versions of all my tutorials here.

📘 PDF

💻 code

🌐 Read online

📲Channel: @ComplexNetworkAnalysis

#book #R #code
👍3👏2💯2
📄Basic and Advanced Network Visualization with R

💥Technical paper

📘 PDF

💻 Code

🗂️ data

📲Channel: @ComplexNetworkAnalysis

#tools #R #code
👍3
📕Network Analysis: Integrating Social Network Theory, Method, and Application with R

🗓Publish year: 2023

📎 Study the book

📱Channel: @ComplexNetworkAnalysis

#book #Integrating #Method #Application #R
👍6
🎞 Community Detection in R in 2021 and Beyond, Part 1

💥2021 Social Networks Workshop

📽 Watch

📱Channel: @ComplexNetworkAnalysis

#video #Community_Detection #R
👍4
📄Spatial network analysis

📗 Journal: REGION
🗓
Publish year: 2025

🧑‍💻Author: Carmen Cabrera
🏢University: University of Liverpool, Liverpool, United Kingdom

📎 Study the paper

⚡️Channel: @ComplexNetworkAnalysis
#spatial #r #implementation
👍2