Network Analysis (1) Theory and Concept
ฝัง
- เผยแพร่เมื่อ 7 ก.พ. 2025
- This video is for the Network analysis and visualization workshop organized at the Virtual Annual Conference of Comparative and International Education Society 2020 (vCIES 2020) in April 2020.
This lecture is designed for beginners to learn from concept and theory to a practical method of the network data analysis with software tools.
There are two lecture videos for this workshop. The first video includes the theory part of my lecture and the second video file is for the practice of the igraph and Gephi with the data files.
This first session is for theory and concept.
The major source I learned from and referred to is:
Newman, M.E.J (2010). Networks: An introduction, Oxford University Press.
Content
1. Introduction to Network Theories
3:39 1.1. What is Network
6:26 1.2. Brief History
9:00 1.3. Purpose of the Network Studies
10:11 1.4. Network Examples
2. Fundamentals and Mathematical Concepts of Network Theories
16:24 2.1. Structure of the Network Data (Node List)
17:44 2.1. Structure of the Network Data (Edge List)
18:58 2.1. Structure of the Network Data (Adjacency Matrix)
21:18 2.2. Key Features of the Network (Undirected vs. Directed)
24:44 2.2. Key Features of the Network (Unweighted vs. Weighted)
26:49 2.2. Key Features of the Network (Non-bipartite vs. Bipartite)
29:42 2.3. Measures of Centrality (Degree)
30:50 2.3. Measures of Centrality (Degree Centrality)
31:56 2.3. Measures of Centrality (Eigenvector Centrality)
34:10 2.3. Measures of Centrality (Betweenness Centrality)
35:22 2.4. Measures of the Network Structure (Network Density)
37:17 2.4. Measures of the Network Structure (Assortativity)
39:01 2.4. Community Detection
![Introduction to Social Network Analysis [1/5]: Main Concepts](/img/n.gif)
Thank you! I can use it to explain Network to my high school students.
By far the best video on network analysis! 감사합니다!
Finally a clear introduction to network analysis!!!!
Great explanation! you made it crystal clear
Thank you sooo much for the video, it is well organized, easy to understand and to the point, I wish I could give more than one like for this video, thanks a lot
This was so clearly explained. Helped me a lot. Thank you so much!
thank you so much, you explained three 2h lectures in one short video
Very nice lecture for introduction to network analysis. Thank you!
The lectures are very nice. Nice work
thank u really very useful sir, i need more videos regarding social network analysis.
Thank you so much! Really appreciate the quick intro :)
Thank you so much! You explained so clearly. It was extremely helpful! :)
Such an excellent explanation! It was so helpful. Thank you! :)
can I give you 1000 thumbs up? thank you. this was really informative.
Great explanation , thanks !!
Great explanation, best tutorial ever!
Complicated topic mande simple. Thank you
This lecture was really good, really learned a lot. Can you also create network analysis video intermediate and advanced level
Thank you so much!
Thank you 😊
많은 도움이 되었습니다. 진심으로 감사합니다.
도움이 되었다니 다행입니다. 감사합니다
Thank you for making these great workshop videos! May I ask what's your recommendation for any textbook about social network analysis with R?
Thanks for your comment and interest. I haven’t seen any of the books for SNA with R programming. I rather recommend textbooks or tutorials addressing general network analysis with R such as ‘Statistical network analysis with igraoh’ by Gabor Csardi. You can freely download this tutorial book in the internet.
@@byoung-gyugong7007 cool, thank you so much for this info!
جيد
Such great help for me… 😭 I sent a message via LinkedIn, I hope you don’t mind.