When I tried to find the closeness centrality by clicking on the "Edge (line) betweeness" option, I encountered the message "this routine binarizes but does NOT symmetrize." Can you provide a solution for this? I'm using UCINET version 6.679.
@rocus80m Жыл бұрын
How do I save a ##h file to .dl file? THat drives me crazy..
@KN-tx7sd2 жыл бұрын
Hi, thanks for the nice video. Can you share the source of the BASEBALL_1M dataset?
@geekgroupie422 жыл бұрын
Thanks so much Jess, the other week my boss said to me, "learn how to do Social Network Analysis, when you have some spare time" and well... here i am!
@Attackplaya2 жыл бұрын
We need the damn script, im pretty sure the script isn’t something top secret only students are allowed to have 🗿any engineer dude can make it by learning the language but us none engineers dont know jack shit about this
@languagetalk81413 жыл бұрын
Hello thanks for the helpful video, I have a question: I have a two-column data frame (sources and their targets) plus a correlation matrix consisting of the targets scores. How can I find a new correlation matrix for sources based on scores in the correlation matrix?
@ruhkhismuhtadin50204 жыл бұрын
do you have the patch for full version, im very need it
@keiyona_diaries86184 жыл бұрын
After running the codes, I am getting this error, please help Error in as.data.frame.default(x[[i]], optional = TRUE) : cannot coerce class ‘"igraph.es"’ to a data.frame
@mdumar64792 жыл бұрын
use as.matrix, hope it may solve the problm
@blackwhite71344 жыл бұрын
Thanks for your video! Do you know how to export directrly from R to Gephi? My data has over 1 048 575 rows (the CSV - excel limit) How can I integrate that data on Gephi? Thanks!
@selvavignesh40814 жыл бұрын
Can i get this code pls
@fatemehtehranifar12655 жыл бұрын
dear Jess,I want to draw a netdraw for my reasech but ucinet hasn;t netdraw and Ihave a problem do you help me? Ican't insert excel to ucinet
@fatemehtehranifar12655 жыл бұрын
dear jess I;m Iranian and my english isn;t fluence but a litle useful to me
@joeleon42285 жыл бұрын
Hello, how to show the attribute data by ttr file?
@shermanfarhad88315 жыл бұрын
Thank you very much for sharing such interesting and helpful video.
@nduwimanainnocent83775 жыл бұрын
Hello Sir, Thank you for the presentation on how to work with R in network analysis. However, the letters are very small and not readable. I would really appreciate you if you could help by making bigger.
@nadiasiregar47856 жыл бұрын
I am also doing research on communication network analysis. I really need once UCINET 6 applications, but I am required to enter the registration code. I do not have enough money to buy the application, can you help me to get the application without having to buy the application? I once downloaded the trial version, but it was expired.
@abokaled946 жыл бұрын
Thank you professor I had fun with your explanation , where I can find the rest of lessons?
@grady_young7 жыл бұрын
Is this code published online anywhere?
@JessKropczynski7 жыл бұрын
Graden Young - sorry, it’s not in a public location, only students of the course have access to the materials
@SUDIPT17 жыл бұрын
How can I get the dataset??
@JessKropczynski7 жыл бұрын
Hi Sudipta, The Bali Bombing dataset is a very famous case available in various places online. I recommend reading the original article about the dataset if you intend to explore it, but you can find and download it here: doitapps.jjay.cuny.edu/jjatt/data.php
@haydens17167 жыл бұрын
Fantastic video. I find Gephi more user-friendly than UCINET, but the analytical power is just not the same. I was dismayed at the learning curve in UCINET, but as the other people commented, your videos are simple, clear, and informative. Thank you.
@marcoslvsfilho7 жыл бұрын
Thanks for the videos, they've been helping a lot! Although, could you explain why, when I'm making a dataset, the colums are read as a node? For example, the file campattr.##d ran in NetDraw keeps making colums "gender" and "role" a node with relations and etc. Thank you!!!
@JessKropczynski7 жыл бұрын
It sounds like you're loading attribute files (descriptors of nodes) as sociomatrix (relational datasets). This task might help you: open the spreadsheet editor and open the "campnet" dataset. That's the sociomatrix describing who knows whom. Then load "campattr". That's the attribute file describing the characteristics of each of the nodes in the sociomatrix. They're two different files and you will load them separately into NetDraw. When you open NetDraw, you'll see there's a few different folder icons. The folder with the "U" next to it and the folder by the "A" next to it toggle the default settings for you so that you can load your sociomatrix. Start by loading the sociomatrix, "campnet" by clicking the folder with the "U" next to it. You should see a sociogram with links and nodes in the shape of a wonky bow tie. Next, click the folder with the "A" next to it and load the "campattr" file. Nothing should seem to have happened. You can then click on the button with the color pallet and set colors by gender. Again, I suspect that you loaded the campattr file first with the settings toggled such that it was loaded as your relationships -- doing the above might help your understanding of formatting and loading the data.
@marcoslvsfilho7 жыл бұрын
Yeah, it worked perfectly!!! I can see now the difference between one file and the other. I really appreciate it!! I just started using UCINET and it's been difficult. Anyway, your videos are helping A LOT. Please keep up the great job! Thanks
@JessKropczynski7 жыл бұрын
Sounds like you're well on your way. Once you can get your data collected, formatted, and in the software, it gets easier... until you decide to take things to the next level ;)
@marcoslvsfilho7 жыл бұрын
Do you mind one (or a few) more questions? In this video you used an affiliation matrix as an example (Davis.##d case). Do they recquire a more sophisticated technique of data treatment, such as normalizations and etc? Is it possible to work and manage them directly, without such? Other question is more general about such data. Davis, Gardner and Gardner (1941) used it to know whether these women shared proximity or were from the same community. Although, I collected data about nodes I know a priori that they actuate on the same organization. My intention was to measure whether they are close from one another and more than that, if they are truelly envolved with the organization - by the share of co-presences. Because of Davis et ali dataset, I've been having second thoughts about the validity of my data and the necessity of "cleaning" or "nomarlyzing" it.
@JessKropczynski7 жыл бұрын
Sorry for the delay, it really depends on what you're doing. If you open the Davis dataset is is 2 modes: one mode is women and the other mode is events. Since most measures cannot be performed on 2-mode date as is, we typically deal with 2-mode data by converting it to a 1-mode affiliation matrix (how nodes along one mode are affiliated by their connections to the other mode). This creates a weighted matrix. Depending on the way you'll analyze the data, you may need to dichotomize or normalize the data... but you might not need to do that. It all depends on the analysis.
@robertofilloramo17037 жыл бұрын
Hi, I'm a neophyte of these type of analysis... I should create networks using the unimodal and bimodal method( utilizing the Girvan-Newman algorith. anf the Jaccard index), I wonder if there was a video about this topic (I mean, how to set the data, insert it into UCINET, process them and put in Netdraw) or if you could suggest me some specific paper on it. Thank you! Best regards Roberto
@JessKropczynski7 жыл бұрын
Roberto Filloramo I recommend the Hanneman & Riddle tutorial. There's a link when you open UCINET. This video and the one after show you how to put your data into UCINET and NetDraw. After you've figured out how to best format your data, if you are looking for how to run the Girvan Newman algorithm, you can do that in both NetDraw and UCINET depending on whether you want to visualize it or just have the output. Searching for it in the help menu with give you the up-to-date path to follow in the dropdown menu.
@robertofilloramo17037 жыл бұрын
Thank you for your suggestions!
@shivanibrahambhatt38987 жыл бұрын
My UCINet app keeps freezing and hanging. Doesn't work unless I end task manually! Any comments?
@JessKropczynski7 жыл бұрын
Shivani Brahambhatt are you using 64-bit? Try 32-bit
@anggital44687 жыл бұрын
hallo Jess, your video is very helpfull for me :) btw, i wanna ask you about baliattr file, what is the meaning of "role" in the second column in your file? i think it indicate the weighted value of the nodes, is that true? thanks :)
@JessKropczynski7 жыл бұрын
Sorry I'm just seeing this now, the role is not the weighted value of the node, it's an attribute of the node. 1-mode matrix 27 x 27 person by person, data for 11 time periods. Ties are undirected and valued. Tie codes: 0 = No relation // 1 = Acquaintances/distant family ties (interaction limited to radical organization activities) // 2 = Friends/Moderately close family (inc co-workers/ roommates) Operational/Org leadership/Operational lies (e.g. worked closely on a bombing together) // 3 = Close friends/family, tight-knit operational cliques
@icleiadorea7 жыл бұрын
Please, post more videos about Ucinet. They are very good!
@wolton208 жыл бұрын
Hello. Thank you for the video. I wonder if you can help me with calculating centrality measures. I am aware of the different concepts/ measures and what they mean. I have some confusion regarding directed data. I have a directed network and was looking to maybe measure the betweeness centrality. Will this work with directed data or would I have to recode it to undirected? But in doing this, is it not potentially misleading as I can infer there are possible routes to particular nodes which in practice do not exist? Thanks.
@JessKropczynski8 жыл бұрын
Hi Joanna, Are you familiar with in-degree and out-degree centrality? If you have a directed dataset and symmetrize it, you'll be loosing valuable information about in and out degree centrality. With UCINET, you will not need to recode your data before calculating multiple measures (including betweenness) of centrality. Just use Ctrl+M to bring up this function. For other questions about centrality, this may be helpful to you: www.faculty.ucr.edu/~hanneman/nettext/C10_Centrality.html
@wolton208 жыл бұрын
Thanks for your response. I have already used in-degree and out-degree centrality but its not really clear if you can use more than one centrality measure. I have used the UCINET function to calculate multiple centrality measures but I am unsure how to read them because some of the numbers in my mind don't tally up i.e they are too high. I also can't seem to find a guide to help interpet the numbers that I am seeing. Thanks for the link, I will re-visit the guide and see if I can decipher the numbers UCINET is generating
@JessKropczynski8 жыл бұрын
The Hanneman and Riddle online text that I sent you should help you to interpret. It also sounds like you could use a good introductory text. If you're using UCINET, I recommend "Analyzing Social Networks" by the authors of the software. I teach a graduate methods course at Penn State (both online and in-residence) that utilizes that textbook. While you're troubleshooting, consider if you have a valued/weighted network (although UCINET will dichotomize some measures for you), and how you've input your data and whether it was formatted correctly. You can certainly utilize more than one measure of centrality in an analysis--but it all depends what you're analyzing to know which measures are right for answering your research questions. Best of luck.
@JessKropczynski8 жыл бұрын
Here's the script I'm using in the video: library(igraph) links = (BASEBALL_1M) links = as.matrix(links) # coerces the data set as a matrix NET = graph.adjacency(links, mode="undirected", weighted=NULL, diag = FALSE) g = get.edgelist(NET) write.csv(g, file="Baseball1ModeEdgelist.csv", row.names=FALSE, na="",col.names=FALSE, sep=",") # file will write to Documents if no folder specified, in Gephi go to file>Open to load data
@dumitrumalai85938 жыл бұрын
hello, you video has no sound from 9:44:(
@JessKropczynski7 жыл бұрын
Sorry about that - these were recordings I made for a class I taught a while ago. I appreciate you letting me and others know about the issue.
@coronarysulcus8 жыл бұрын
Hi Jess, thanks for this. Do you recommend any tools or have access to any power shell scripts that will create matrix data sets out of Microsoft Exchange logs?
@JessKropczynski8 жыл бұрын
NodeXL used to have a plugin for this but I'm not sure if they've been maintaining it through the years. My strategy is typically to take a look at the way the data is formatted when aggregated from a service and reformatting in a way that works well with the analysis tool you're interested in using. There's a lot of simple ways to reformat data in UCINET, Excel, or R that can be find in KZbin tutorials and StackOverflow
@paibulss8 жыл бұрын
I enjoy the first vdo you made but wonder why this one is running blurry.
@deutschejar8 жыл бұрын
Great viedeo, but I have a question: in the relation actors matrix (10:12) it only admit the calification value between 0 and 1 or it could be higer, 2 o 3 (like the calification on the MICMAC and MACTOR software)?
@JessKropczynski8 жыл бұрын
Yes, you can use a valued dataset or a dicotomous dataset. Some analyses will dicotomize automatically to ensure valid results, while others require you to dicotomize before analyzing. Many UCINET results will tell you in the text file if it dicotomized your dataset to ensure valid results, I think density is one example of this wherein your results should be a number between zero and one and a valued/weighted dataset can return a number greater than one if the dataset is not dicotomized.
@deutschejar8 жыл бұрын
thank you, is very usefull know that.
@MrBaroter8 жыл бұрын
Thanks for the video! Really helps out
@dionnebarnes-proby57709 жыл бұрын
I greatly appreciate all of your UCINet and SNA videos. Wish there were more. You make a very difficult subject extremely easy to understand. Thank you so much! Please post more videos (especially UCINet videos). This struggling doctoral student really needs all the help in this area she can get!