[41:05] Did you (or anybody) crack the puzzle? Why does Gephi not have Edge Repulsion? Or does it?
@gaia86766 ай бұрын
Hi! Great video! Do you know how to visualize the bipartite graph with group nodes on the left and actor nodes on the right? I am going crazy trying to understand how to do that😅😅
@alcor21808 ай бұрын
👍
@alcor21808 ай бұрын
Une réflexion de fond que je ne maîtrise pas du tout mais qui est d'une importance capitale (mon chat est-il un chat ? :) )
@jieli86010 ай бұрын
Thank you, Interesting Visualization. But I am still wondering how you got your graph to cluster automatically based on a node attribute, it doesn't work on my side. I am using 0.10.1. Thanks again.
@abdullahishaq3 Жыл бұрын
Thanks brother for this video
@LeraFire-s1c Жыл бұрын
Спасибо!
@maritagrillo3911 Жыл бұрын
Thanks a lot!! I could do it with notepad.
@ayomidebenjamen2526 Жыл бұрын
Quick and simple, good for quick knowledge
@RobertAlexanderRM Жыл бұрын
The video is very well made and very informative but I'd expected you would show how to represent a bipartite network. Thanks
@basiadzy6908 Жыл бұрын
Hi! Very useful video! Is it possible to segment the network if you have for instance date and time? Are there any good sources you can recommend how to do that? Thank you!
@KJletMEhandelit Жыл бұрын
It's Just WOW!!!
@kasziber Жыл бұрын
Big Thanks for bringing some clearity in the work with Gephi and analyzing the results. Helps a lot to understand the bigger steps in how to make things work.
@GaelleAminataColin Жыл бұрын
Wow, such a great video super clear and interesting. (and having your face next to your screen is really nice and makes this easier to watch than most tutorial videos). Thank you!
@genieur8188 Жыл бұрын
Well, good topic, a good explanation, and a nice way to approach analytics. But 'Anti Vaxxer'? Maybe you want to revise this video with a more neutral data set. A) Anti vaxxer are mostly not against vaccinations at all rather pointing to the fact that the C-injection might be something different and therefore obtain some risks. And b) most of their claims, unfortunately, became reality by now.
@al8251ug Жыл бұрын
Amazing visualization.
@useyourbrain1232 Жыл бұрын
how can you have confidence in your results, when all of these random setting drastically change your results
@frewoja Жыл бұрын
thanks
@thiagoribeiro90692 жыл бұрын
Nice analysis, and thank you for sharing! I’ve noticed some curious points that perhaps you already thought about: - In the Pasta Cluster, we can see a Haggis Node, which is a Scottish dish similar to a savory pudding. I think it more closely relates to the Sausage Cluster, as one of its ingredients is a sausage casing. - The Pasta Node is not included in any cluster. But looking around it, perhaps it could be in the frontier between the Italian Cuisine and the Pasta clusters. Of course, these are only minor comments about an overall great work. But they made me think that similarly to thematic analysis, network analysis can greatly benefit from multiple researchers/analysts perspectives. Still, it was great to learn (and very reassuring to know) from your pedagogical experiment that the subjectivity of the analyst seems to matter less than other factors. Perhaps, a naturally occurring follow up experiment would be comparing the result of an analysis made by a network expert (or a small group of them) to the one made by a professional expert in the field (in this case, a cooking chef). The rationale behind it is that we often analyze networks of things we are not truly experts yet (your video is an excellent example of this). We are good at mapping communities and analyzing statistics, but how close can we get to the real deal?
@altafhussainnarejo66852 жыл бұрын
I just started this Network sciences here in Pakistan in Biological Sciences to find out the Network ecology, more precisely. I need your help as well.
@altafhussainnarejo66852 жыл бұрын
Seems little bit pressurized
@altafhussainnarejo66852 жыл бұрын
Wao it's your thesis work great
@eliezeralvesmartins2 жыл бұрын
Thank you so much Jacomy
@arielpaz59532 жыл бұрын
Really clear and good video, thank you
@MCPetruk2 жыл бұрын
So how would you then try and find out the main sources of the dysinfo? If they were from a foreign source? The Urls owners are usually hidden.
@rafaanimir88202 жыл бұрын
Thank you sir. You are amazing
@maedefaghihinia59672 жыл бұрын
Thank you so much! this saved my time!
@sprovs2 жыл бұрын
Worked like a charm, thank you!
@welovegreecerogue87332 жыл бұрын
can you upload the dataset to some link?
@jacomyma2 жыл бұрын
The network itself can be found in the description in the link below "GEXF File". As for how to obtain that GEXF, the explanations are in the tutorial mentioned in the description, and more precisely right there: jacomyma.github.io/mapping-controversies/1.9/#data (it involves a CSV file and a Jupyter notebook, available on Google Colab)
@jude58872 жыл бұрын
🙃 Promo_SM!
@OpeLeke2 жыл бұрын
Thanks for the clear and concise information
@554_tycs_jay82 жыл бұрын
Thankyou bro
@JackFirneno2 жыл бұрын
worked perfectly! Thanks so much!
@aminmojtahedi35562 жыл бұрын
You sir should run the internet.
@MartinGrandjean2 жыл бұрын
The trick about clicking the number in the filter range setting is probably the weirdest UI decision 😆 But I'll use it everyday now! ("came for bipartite networks, stayed for small Gephi tricks")
@jacomyma2 жыл бұрын
It's a glitch, not a UI decision; and the trick is to work around it. But we'll fix that in a later release!
@ERNesbitt2 жыл бұрын
Thank you!
@levinaanggraeni86612 жыл бұрын
it works! thank you!
@arunimgarg23482 жыл бұрын
Thanks man
@kristinaloria72713 жыл бұрын
Thank you, much needed help!
@gautamagarwal97613 жыл бұрын
Excellent tutorial! Includes everything! This works absolutely fine! 🙌🏻🙌🏻
@oktoreno56753 жыл бұрын
Thank you so much !
@haninsalsabila32133 жыл бұрын
thank youuu mas, tutorialnya bisa dan membantu bgt :)
@seesee71573 жыл бұрын
Thank you very much! I am a total idiot but your explanation works even for me!!!!!