Пікірлер
@MarkovChains223
@MarkovChains223 Ай бұрын
In large, highly connected networks where any vertex is very unlikely to be the sole connection between 2 or more parts of a network, could you functionally consider vertices with particularly high betweenness centrality, relative to the rest of the network, to be "bridge" vertices? I.e. vertices which, if removed, wouldn't *completely* disconnect parts of a network, but would *severely* reduce the connectedness between parts of a network? Or are the requirements for what you can consider a "bridge" vertex pretty narrowly and strictly defined when it comes to methods for analyzing them?
@ccb472
@ccb472 3 ай бұрын
You are brilliant. Thank you for explaining this so clearly, and for simplifying with examples.
@yuliyaapukhtina4382
@yuliyaapukhtina4382 9 ай бұрын
Thank you Martin, that's one of most simple and in the same time comprehensive explanations of network analysis that I saw.
@JP-hu8ge
@JP-hu8ge 10 ай бұрын
Thank u so much!
@-Skywalker01-
@-Skywalker01- 11 ай бұрын
Very clear, good visualisation, right speed, thank you!
@saidycedano5775
@saidycedano5775 Жыл бұрын
Hello, can you please offer a link to the Histograph Interface you mentioned at minute 4:24.. thank you!!!
@rubenfrancis9500
@rubenfrancis9500 3 ай бұрын
Hello saidy, did you manage to find this software! its impossible to find but looks perfect
@BorisCristhianCaRomeroSuarez
@BorisCristhianCaRomeroSuarez Жыл бұрын
Hi, nice presentation. Can you tell me, what font did you use on your document?
@MartinGrandjean
@MartinGrandjean Жыл бұрын
It's Optima :)
@gonzalorenatoquintanazunin6984
@gonzalorenatoquintanazunin6984 Жыл бұрын
What a great introductory course. Thank you so much!
@BioSlayer111
@BioSlayer111 Жыл бұрын
Great touching on temporality. A network is a snapshot frozen in time. If you think of Time as an emergent physical property, not as a ticking clock, you can see a network evolves say through wiring and rewiring of nodes as they age and die at the experimental or theoretical rate you give them. Here differential and difference equations become handy for describing time equations for each node.
@ShahzadAli-sj5dp
@ShahzadAli-sj5dp Жыл бұрын
is there any software available for social networking research
@petrusgimbad946
@petrusgimbad946 Жыл бұрын
Interesting - still above my head but can see the real world application and its uses.
@Alhamzah_F_Abbas
@Alhamzah_F_Abbas Жыл бұрын
Very interesting workshop
@SMajid--SMajid
@SMajid--SMajid Жыл бұрын
This is a great explanation of complicated concepts. Many others have complicated them further, thanks so much for such clear examples and simplification of concepts!
@prernamistri
@prernamistri Жыл бұрын
wonderful video !
@AA-bs1ig
@AA-bs1ig Жыл бұрын
Hi , please how not create a redundunt path between 2 nodes already has a path.
@reijin999
@reijin999 Жыл бұрын
excellent video thank you
@baharataei1126
@baharataei1126 2 жыл бұрын
How can I add my xlsx data in here instead of writing it
@jenS.283
@jenS.283 2 жыл бұрын
thank you very much
@mghamari63
@mghamari63 2 жыл бұрын
Perfect presentation! I am pretty new in this area. Two questions: A:What does distance mean in a network and how it is measured? B: How can we read a complex network? I mean is there always a matrix (matrices) behind every galaxy-form network like what you showed at 10:50? Thank you!
@MartinGrandjean
@MartinGrandjean 2 жыл бұрын
Thank you for your questions. In a network, the distance refers to the number of nodes, that you need to go through from node A to node B (think about a metro map where you count the number of stops), the visual distance between the nodes in the visualisation is not meaningful, it's just the result of the spatialisation algorithm. And yes, there's alway a matrix behind a graph, even a very large one, but you'd often simplify it as an adjacency list because the adjacency matrix contains looots of empty cells (you rarely have a graph where all pairs of nodes are connected).
@mghamari63
@mghamari63 2 жыл бұрын
@@MartinGrandjean Thank you for your reply! Can I have you email address please?
@mghamari63
@mghamari63 2 жыл бұрын
@@MartinGrandjean How can we evaluate the accuracy of an inferred network? or How do we know that the constructed network accurately representing the interactions between entities? Thank you!
@MartinGrandjean
@MartinGrandjean 2 жыл бұрын
@@mghamari63 I don't think I'm talking about inferred networks in this video. It's something that's intimately related to the discipline, the type of data, and the specific situation, so there's no general answer to that question. I feel like you have to compare it to other networks of the same type, or to a representative sample. But in history (which is the context of this video), we rarely use networks that aren't exactly the data we have (this has biases, but at least we know exactly what we're talking about).
@anapauladonate
@anapauladonate 2 жыл бұрын
Congratulations!
@rodrigo100kk
@rodrigo100kk 2 жыл бұрын
Very interesting subject. Very good explanation. Is there a business application to this ? Myb help product creators/sellers to understand where their audience is and how they are linked throughout social media.
@adrianmaulanamuhammad7225
@adrianmaulanamuhammad7225 2 жыл бұрын
Do you have a reference or source where the metrics are fully explained? I still have questions, like are we need to calculate all the metrics (avg path length, diameter, avg degree, etc.) or we can caculate a few metrics? How many metrics are enough to represent a network? Thanks
@mghamari63
@mghamari63 2 жыл бұрын
@@MartinGrandjean The link of "Translating Networks" does not work. Would you share it again? Thank you!
@MartinGrandjean
@MartinGrandjean Жыл бұрын
@@mghamari63 Sorry for checking the comments this late, we’ll in fact KZbin added the ) at the end of the URL as if it was part of the link. I just removed it and think I works now.
@muskduh
@muskduh 2 жыл бұрын
Thank you for all of your content!
@muskduh
@muskduh 2 жыл бұрын
Thanks again!
@MCPetruk
@MCPetruk 2 жыл бұрын
I don't understand his explanation of Euler.
@abolfazlmohebbi2104
@abolfazlmohebbi2104 2 жыл бұрын
It was a really informative and useful video series. Thanks a lot for that. However, as a novice person in this field, I realized the series was more focused on "Visualization" rather than "Analysis". Hence, I think the title of the videos can be a bit misleading.
@MartinGrandjean
@MartinGrandjean 2 жыл бұрын
Hi, thank you for your feedback. You're right, this video series was initially meant to be used in a conference focused on history (HNR), a discipline that relies heavily on visualisation for network interpretation. The title made sense in this context, and this is by the way only an "introduction": I find always easier to use the visual approach to make people that are completely new to these methods understand what network analysis is (and then move to some more technical things on metrics, analysis, etc.).
@movimientoinformativo5314
@movimientoinformativo5314 2 жыл бұрын
where can i look for more information about this?
@movimientoinformativo5314
@movimientoinformativo5314 2 жыл бұрын
good job
@movimientoinformativo5314
@movimientoinformativo5314 2 жыл бұрын
excellent
@elisedermineur5778
@elisedermineur5778 2 жыл бұрын
What software would you use for creating a multi-layered network?
@muskduh
@muskduh 2 жыл бұрын
this is great! thanks for building bridges for us
@MartinGrandjean
@MartinGrandjean 2 жыл бұрын
Thank you, I'm happy if it can be helpful!
@RuhollahHosni
@RuhollahHosni 2 жыл бұрын
UNDERSTANDING ME UNDERSTANDING YOU
@donharris8846
@donharris8846 2 жыл бұрын
Great explanation. Well done
@MartinGrandjean
@MartinGrandjean 2 жыл бұрын
Many thanks for your feedback!
@Sophieseee
@Sophieseee 2 жыл бұрын
Un Super Grand merci! This series of lectures was very informative and clear - especially for someone who is not in the Historical field. The concepts were clear and very transferrable into my area of marine ecology :D fingers crossed I get to try this out!
@MartinGrandjean
@MartinGrandjean 2 жыл бұрын
Merci ! Good luck for the application to your field (yes, the basics are valid for all disciplines)
@murilopalomosebilla2999
@murilopalomosebilla2999 2 жыл бұрын
Really well presented! Thanks!!
@MartinGrandjean
@MartinGrandjean 2 жыл бұрын
Thank you for the feedback!
@Splines
@Splines 3 жыл бұрын
Thank you so much Martin Grandjean for this great introductory series. The graphics were beautiful and really helped to emphasize and understand the points you made. I think it's really important to gather a basic understanding of the problem first and have a strong motivation and also see how this field of science evolved over time and how it started. You definitely reached your goal to make me think and dive deeper.
@MartinGrandjean
@MartinGrandjean 2 жыл бұрын
Many thanks for your nice feedback! Cool, I hope you'll succeed in your deeper dive and your network analysis projects
@rezat.ashtiani1338
@rezat.ashtiani1338 3 жыл бұрын
Excellent and simple, thanks
@MartinGrandjean
@MartinGrandjean 2 жыл бұрын
Many thanks!
@victorias7324
@victorias7324 3 жыл бұрын
Good explanation, thank you
@MartinGrandjean
@MartinGrandjean 2 жыл бұрын
Thank you!
@ShahedHossenOfficial
@ShahedHossenOfficial 3 жыл бұрын
document please...
@joellacharles2605
@joellacharles2605 3 жыл бұрын
vsdqf vun.fyi
@professordrabhijitsayamber2299
@professordrabhijitsayamber2299 3 жыл бұрын
Om shanti de ki
@alexandrafreitas7528
@alexandrafreitas7528 3 жыл бұрын
Thank You for your great work! =)
@MartinGrandjean
@MartinGrandjean 2 жыл бұрын
Thanks!
@chongtang6908
@chongtang6908 3 жыл бұрын
thank you, our excellent guy!
@MartinGrandjean
@MartinGrandjean 4 жыл бұрын
OMG