8 ай бұрын
8 ай бұрын
8 ай бұрын
8 ай бұрын
8 ай бұрын
8 ай бұрын
8 ай бұрын
8 ай бұрын
8 ай бұрын
9 ай бұрын
9 ай бұрын
9 ай бұрын
9 ай бұрын
9 ай бұрын
9 ай бұрын
9 ай бұрын
9 ай бұрын
9 ай бұрын
9 ай бұрын
9 ай бұрын
9 ай бұрын
9 ай бұрын
10 ай бұрын
10 ай бұрын
Жыл бұрын
Жыл бұрын
Жыл бұрын
Жыл бұрын
2 жыл бұрын
Пікірлер
@fernandofernandez8073 7 ай бұрын
Sencillo, que no simple. Excelente curso sobre SNA y sus útiles implicaciones. Easy, but not simple. Excellent course on SNA and its useful implications.
@B_C77 8 ай бұрын
Thank you very much for the videos. In a directed network, does the network need to be fully connected in order to measure betweenness centrality? Assuming that the network in the example in the video is a directed network and there is no path from 1 to 2, zero divided by zero, doesn't that imply an undefined result? However, some sources state that the network does not need to be fully connected to calculate betweenness centrality and that it can be calculated in a disconnected network or component. What is the correct calculation method?
@bryancollier5377 9 ай бұрын
🤤 promo sm
@劉皓羽-d6b 11 ай бұрын
thanks for ur class
@Glamperluv Жыл бұрын
John, I bought this van a few months ago. Ian sent me this video. Was wondering if you are you still in business, and if so, where are you located?
@ArayTurgyn-w3i Жыл бұрын
Thank you very much!
@__anonymous__4533 Жыл бұрын
Thank you so much! Tomorrow is my quiz, this helped.
@aikenong4538 Жыл бұрын
Hi, may I know what are the answers for the diameter, target for collection, and target for capture?
@dr_smoke Жыл бұрын
If you look at the distance matrix around 5:30 in the video, the maximum number, 3, is the diameter. I'm not sure what you mean by target for collection/capture.
@vishalaramasamy9357 Жыл бұрын
If the path is (2,1,4,3) , then should 1 and 4 get "0.5" each OR "1" each. As you mentioned , if the row in a excel should sum to 1 , then 1 and 4 should have 0.5 each right. But if we consider the fact that both 1 and 4 fall under a single path and there is only one path for the given start and end , should they have 1 each? I hope I am clear. Please explain :)
@muskduh Жыл бұрын
thanks for the review.
@entrepreneuriatrecherchesetcon 2 жыл бұрын
Thank you for your video. This link shows how to do social network analysis in Rstudio. kzbin.info/www/bejne/gne5famPgrWgl6s
@mohanadazzam6095 2 жыл бұрын
That's the easiest best explanation,,, thank you so much
@ankitranjan30 2 жыл бұрын
Excellent video, thank you!
@KeepYourselfAhead 2 жыл бұрын
Very nicely presented Sir :)
@gudaguda5299 2 жыл бұрын
Great video
@liuyulin6256 3 жыл бұрын
very good video！
@musclesmalone 3 жыл бұрын
So what you're saying is if you drink Guinness, that will make you a better Statistician? :) Your vids on network centrality are great. Thanks for the clear explanations!
@altheamathews7952 3 жыл бұрын
Excellent video! I now grasp the concept of calculating betweenness centrality. Thank you!!!
@JacquesWhales 4 жыл бұрын
Hi Professor, I left you a comments on the other account and it must've been deleted since you changed your channel name. Thank you for answering my comment on the other video, I'll have to break my email into a multiple replies or risk having it removed by KZbin. My email is Jacques
@JacquesWhales 4 жыл бұрын
(at)Novusphere
@JacquesWhales 4 жыл бұрын
dot (i)nput(o)utput
@JacquesWhales 4 жыл бұрын
Hi Professor, my replies are getting automatically removed for some odd reason...
@JacquesWhales 4 жыл бұрын
anything resembles a link/email address gets removed immediately...
@JacquesWhales 4 жыл бұрын
Hello Professor McCulloch, I came across your channel about a week ago, while I was searching for material to help me better understand network science and social media analysis. I would love to learn more about the paper that you co-authored which looked into how bots influenced the 2018 U.S Senate Election and lead to an FBI inquiry into Twitter and subsequent deletion of 7% of Twitter users and a 23% drop in the Twitter stock price. However, being not affiliated with any institutions at the moment, I couldn't get access to the paper without paying a heavy fee. I was hoping you could send me a copy of the paper, and perhaps, some detail about the events that took place. Best, Jacques.
@ianmcculloh3525 4 жыл бұрын
what is your email?
@Darth_Pig 4 жыл бұрын
1:26 Some Clone Wars flashbacks lol. Great videos btw, very clearly explained.
@biancavasconcellos88 4 жыл бұрын
Thank you! After this video I would like take classes with you 😅
@TheProblembaer2 4 жыл бұрын
Hi Mr McCulloch, this is the best explanation by far. Any idea how I could cite this in my Dissertation? Did you publish something in this direction? Thanks!
@dr_smoke 4 жыл бұрын
You can cite my SNA textbook, McCulloh, I., Armstrong, H., & Johnson, A. (2013). Social network analysis with applications. John Wiley & Sons.
@TheProblembaer2 4 жыл бұрын
@@dr_smoke Much appreciated, thank you!
@tjvamsikesav5340 4 жыл бұрын
Thank you. Neatly explained.
@HumaRizwan 4 жыл бұрын
I subscribed man....very gr8 video
@zahedarman6092 4 жыл бұрын
Do you have any video on eigenvector centrality?
@onuroner9371 5 жыл бұрын
basicly told swiftly understood. thanks Dr. McCulloch.
@neeleshgaikwad6387 5 жыл бұрын
Thanks a lot!!! Concepts are explained very well!!!
@aks3475 5 жыл бұрын
So, Betweenness Centrality is the centrality measure that attempts to capture the centrality of a node based on the impact of connectivity of the node in a network as well the centrality measures of other nodes to which the node is connected...?
@dr_smoke Жыл бұрын
Not exactly. The centrality measures degree, betweenness, and closeness are all different ways of measuring what is central, much like mean, median, mode tell you what number is typical, but are slightly different. In most random networks, these three measures are all highly correlated, just like mean, median, mode in normally distributed data. When there is more structure (e.g. connected subgroups), then the measures will not be as correlated, much like mean vs median in skewed distributions. When there is structure, betweenness will measure brokerage across the groups, while degree will measure the most connected, probably in a single cluster. Closeness is somewhat in between. To follow my analogy, betweenness is like median, closeness like mean, and degree like mode.
@SanjayKmsd 5 жыл бұрын
Thanks Prof
@TheProblembaer2 5 жыл бұрын
why do n-1 path exists? I do count more
@TheProblembaer2 5 жыл бұрын
Its about direct pathes, not indirects aswell
@davidvenegas7222 5 жыл бұрын
Do i need to take into consideration the direction on my link, when calculating the betweeness score?
@dr_smoke 4 жыл бұрын
If you are calculating directed betweenness, then yes. In practice, I find it more useful to dichotomize the link and treat it as undirected. This is because there is usually measurement error and respondent bias.
@ElNick09 6 жыл бұрын
Did you produce similar lectures for the other measures of centrality (eigenvalues etc.) I do not see them posted in your videos but would love to watch them if they exist.
@ElNick09 6 жыл бұрын
I have to say, these videos are just so well done and so clearly explained it is really something. thank you for this.
@dillonryan4161 3 жыл бұрын
InstaBlaster.
@sittimurniati2438 6 жыл бұрын
verygood.thank you very much sir.
@QuanLe-bv5kx 6 жыл бұрын
Best video, super easy to understand
@monisaha3799 6 жыл бұрын
Nice and precise. Helped a lot sir. Thank you very much.
@gedimarbarbosa6403 6 жыл бұрын
It helped a lot! Thank you very much!
@sreekeshv12 6 жыл бұрын
Very helpful!! Thanks John
@sreekeshv12 6 жыл бұрын
Short and precise excellent video thank you sir !
@GavByrne18 6 жыл бұрын
Is anybody able to explain to me how to layout the network as a function of indegree centrality on UCINET NETDraw. I want to have the nodes with largest indegree centrality as most central and those with least indegree centrality on the periphery
@sravanikapilavai8300 6 жыл бұрын
if the sum of rows in betweenness centrality matrix should amount to one, I think path between 2,3 nodes should have 0.25 for node 1 and 5 and 0.5 to node 4.
@jeffreyang20 6 жыл бұрын
The numbers in the tutorial are correct. For Betweenness Centrality, we need to count the number of times the node was passed. Then divide by the number of shortest path for that OD pair. Node 1 was passed 1 time. Node 4 was passed 2 times. Node 5 was passed 1 time. Since there are 2 possible shortest paths. Divide the count by 2. That gives Node 1 (1/2), Node 4 (2/2), Node 5 (1/2) - as per the tutorial. I checked the same network using networkx in python. Python gives the same results as the tutorial.
@dr_smoke Жыл бұрын
This is not true. The numbers are the fraction of the shortest paths that the node lies on. So, for {2,3}, you'll see that node four is on both paths, so it is 1.0, but node five is on one of two paths, so it is 0.5 like node 1. In this case, the sum of the rows is 2.0.
@giridharmaji4417 6 жыл бұрын
Thank you. Also Need lectures on k shell and its different variants sir.
@dawsongraysen2132 3 жыл бұрын
I know Im asking randomly but does someone know of a method to log back into an instagram account? I was stupid forgot the account password. I appreciate any tips you can offer me.
@jayceonxander3413 3 жыл бұрын
@Dawson Graysen instablaster =)
@dawsongraysen2132 3 жыл бұрын
@Jayceon Xander I really appreciate your reply. I got to the site through google and Im trying it out now. Takes quite some time so I will get back to you later with my results.
@dawsongraysen2132 3 жыл бұрын
@Jayceon Xander It did the trick and I now got access to my account again. I'm so happy:D Thanks so much, you saved my ass !
@jayceonxander3413 3 жыл бұрын
@Dawson Graysen Happy to help xD
@aabdill 6 жыл бұрын
thank you ! <3
@danielscrew4329 6 жыл бұрын
thank you sir
@mukkimoo24 6 жыл бұрын
best video thank you for going step by step!
@abeeer1410 7 жыл бұрын
excellent thank you