I have viewed many, many YT videos on the topic of networks. Your presentation of the principal concepts is remarkable for its breadth and accessibility. May your network degree and centrality continue to increase logarithmically!
Nice. Very helpful. But what video should we watch after this one. Looks like this lecture continues after this, but can't find the next video associated with it.
@jengolbeck I enjoy your tutorial a great deal. You have a way to making it easier to understand network theory and analysis. You mentioned a BOOK you want people to refer to. Would you be able to post post here the title of the book or a URL link to it please? I'd like to refer to it as I learn from your videos. (PS I know this Tutorial Video series is a few years old but any ref to the book here would be great)
Ehhhhh, in network there is no node that has ever been more important. You might be talking about relationship. There is a great difference between relationships and networks. What is important in network is the linkage.
You’re quite incorrect about this. Nodes vary in importance and there are many statistical measures to express this. I’m talking explicitly about node measures in this lecture. I recommend some readings on the fundamentals of graph theory or network theory if you’re unable to understand that nodes have importance in the network in addition to edges.
@@jengolbeck it seems I can't understand you as said. For my ignorence the network can't exist with out nodes. What matters is the linkage connecting these nodes through which the number of connected inform of a network are predicted. Am sure if you consatrate on linkage, it will be better for you to know what constitute a node of a given network, the topology of the network and how a network operates inform of a complex system.
![Introduction to Social Network Analysis [1/5]: Main Concepts](http://i.ytimg.com/vi/lnLW6ITFY3M/mqdefault.jpg)
The best summary of network analysis
I have viewed many, many YT videos on the topic of networks. Your presentation of the principal concepts is remarkable for its breadth and accessibility. May your network degree and centrality continue to increase logarithmically!
It is not possible to ask for a more crystal clear explanation, well thought out and logical presentation.
Your explanations are amazing. Kindly keep spreading knowledge in the field of social networks. It will be incredibly helpful to a lot of people.
OMG it's GR mom. Thank you for providing me with cuteness from your dogs and for now helping me with my molecular biology Master's thesis!
As a new entrant in the field of networks, I have found this presentation very wonderful
This is excellent. Best side of youtube.
Fantastic explanations. Very easy to understand!
Golden lecture escorted by a golden voice. I loved it
This video is really good. I finally understand the formula for calculating network density. Thank you, Jen
Wow!!! Crystal clear. Thanks for sharing this. What textbook were you referring to during your lecture? Cheers
Analyzing the Social Web - www.amazon.com/exec/obidos/ASIN/0124055311/j16t3i5j15-20
Glad you like the video!
My pleasure. And thanks for pointing out the textbook. I subscribed to your channel; keep up the good things. Cheers from Italy
Amazing lecture!
What an excellent lecture! Thank you
excellent overview on networks! highly appreciated.
Is there another video before this one, the one with vocabulary like you pointed out?
This was excellent.
Great classes about social networks and Gephi. Thank you!
Could I ask which book you refer to? I would love it.
Great thank you! You are a really great professor! Can you recommend the best book for SNA and Qualitative network analysis?
Great and helpful teaching
Hello sear, im looking for simple way to calculate the coefficient clustering of three nodes, how can i do ? thank you :)
Thanks for crystal clear explanation
Excellent video. Why so few upvotes?
very very helpful video! many thanks
Really enjoyed it, thank you for sharing
what is the best app visualize data in the form of a network
Thank you for your excellent tutorial!
love your explanation made things soo simple thank you for this video
Nice. Very helpful. But what video should we watch after this one. Looks like this lecture continues after this, but can't find the next video associated with it.
All the tutorials (and their associated materials from my book) are at analyzingthesocialweb.com/course-materials.shtml
Hope that helps!
Loved this!
Thank you very much 😀
Thank you so much for the teaching! Love it :)
Similar topics are discussed in detail in the article Social network analysis: An overview by Tabassum et al.
Do you have other videos? if positive let me know the links. I loved this class.
Here's an older version of this class with materials and links to the videos to watch in order www.cs.umd.edu/~golbeck/INST633o/content.shtml
@@jengolbeck Thanks, for this. Your explanation really makes this topic accessible.
Where are the links to the books please?
The book is www.amazon.com/exec/obidos/ASIN/0124055311/j16t3i5j15-20
Thank you soooo much jen 💕 you've help me a loooot 😍
thanks, great tutorial
very useful, thank you !
@jengolbeck I enjoy your tutorial a great deal. You have a way to making it easier to understand network theory and analysis. You mentioned a BOOK you want people to refer to. Would you be able to post post here the title of the book or a URL link to it please? I'd like to refer to it as I learn from your videos. (PS I know this Tutorial Video series is a few years old but any ref to the book here would be great)
It’s Analyzing the Social Web by me! You can get it on Amazon
Thank you!
Great thank you
Fantastico
Super cool! Thanks for that.
This is great.
you are the best!!
great!!!
So a random graph with an average length of 3,000 would have more nodes than the atoms in the universe...
Ehhhhh, in network there is no node that has ever been more important. You might be talking about relationship. There is a great difference between relationships and networks. What is important in network is the linkage.
You’re quite incorrect about this. Nodes vary in importance and there are many statistical measures to express this. I’m talking explicitly about node measures in this lecture. I recommend some readings on the fundamentals of graph theory or network theory if you’re unable to understand that nodes have importance in the network in addition to edges.
@@jengolbeck it seems I can't understand you as said. For my ignorence the network can't exist with out nodes. What matters is the linkage connecting these nodes through which the number of connected inform of a network are predicted. Am sure if you consatrate on linkage, it will be better for you to know what constitute a node of a given network, the topology of the network and how a network operates inform of a complex system.
This was excellent.