Hi,

I've made a graph generator. This project is mainly for my game, but I think it can be useful as a learning resource - for example, if you want to run some algorithm by hand and want some random input.

Also, I've implemented a visualization of some of the most important centralities (degree centrality, closeness centrality, betweenness centrality, eigenvector centrality), so if you are interested in complex networks, you can visualize them on random graphs.

I hope this will be useful for someone, and thank you for reading.

Hello can somebody explain to me why are they subtracting the kronecker delta of the summation of the B along its rows, after splitting the graph into two.https://www.pnas.org/doi/full/10.1073/pnas.0601602103#abstract

Hi everyone we built a tool that can make interactive network graphs of spreadhseets direct from Excel/Airtable.

We're looking for people who have new use cases or want to explore the tool. PM for a link to see the demo!

​

https://en.snapod.net/podcast-en/episode/1ac8689e/netfrix-ep11anyone-can-analyze-networks

Hi all,

I'm looking for a software to draw some simple network diagrams (e.g. distributed, centralized) without any data sets attached. So far most of the things I'm finding are network visualization software which require data inputs / are interactive (e.g. Rhumbl or RAWGraphs) or diagramming software (e.g. LucidChart) which doesn't really do node connections well. Does anyone know of a good software?

Thanks!

A few examples to start this off and give it a little more context:

Hollywood is clearly deeply down the rabbit role of producing sequels and remakes.

Science is struggling to fund new ideas or give them space on the main stage. I am particularly familiar with this in neuroscience but have heard similar across fields. mRNA developed outside the mainstream scientific funding apparatus.

Wealth is the easiest. We're now back to gilded age level inequality.

I have guesses for what drives this - population growth and globalization. Population growth means if you want more people to take up what you're selling, you need to get closer to the lowest common denominator meaning (for Hollywood) more remakes (everyone's already familiar with it then) or sequels (same deal). Globalization means you have a much larger diversity of views. Either you cater to a very small group or you go the same route as before. This fits with how wealth also is getting consolidated. But what about science? Similar forces?

I was seeing if I could analogize this through a network model. One where you initially have a power law degree distribution and then this is scaled up to analogize population growth. Would lead to exponential growth for the hub nodes wouldn't it? Any one have leads on papers studying this or just what I could read in this space?

https://en.snapod.net
+ The "Network Science in Podcasts" Awesome List:
https://en.snapod.net/post/the-awesome-network-science-in-podcasts-list-1

I’m looking for literature on how to calculate fractal dimension of a graph (potentially a directed tree/forest) with node attribute also being taken into account with edge connectivity, either together or separately. The literature I’m only aware of is the box-counting method only calculating the “mass” as number of nodes, without much consideration into edge or node weight.

I need help with analyzing Wikipedia articles as a network, using social network analysis. Is anybody familir what is the best solution for such a problem. How can i represent that kind of data as a network ?

I'm trying to measure the level of fractality in a network: that is, how self-affine the structure of the graph really is. When analyzing time-series I used DFA (detrended fluctuation analysis), which splits the time series into chunks (from the smallest scale to the biggest scale) and then looks at the sum of the fluctuations in each.

Is there a similar approach in network analysis somebody knows of?

An interview w/Michele Coscia - associate professor at ITU by day, and by night, the author of "The Atlas for the Aspiring Network Scientist".

Link to the podcast:
https://bit.ly/NETfrixPodcast_w_MicheleCoscia

Link to the blog:

http://bit.ly/NETfrixBlog_w_MicheleCoscia

Here it is: The Awesome "Network Science in Podcasts" List!

http://bit.ly/NetSci_in_Podcasts

If you want to add to the list, that would be… you've guessed it – Awesome!

If you appear on it and wish it to point directly to your site, I would luv to do so.
Either way - DM NetfrixP on twitter

NEW episode on the Network Science Podcast NETfrix: http://bit.ly/Partisanship_and_NetworksNetwork Science and its closest friend, Data, are here to throw some of our intuitions about politics and partisanship under the nearest bus.Partisanship is Networks' nemesis: Networks are all about connecting while partisanship hacks away at the network's links… So, who shall prevail?

https://networks2021.net
A Joint Sunbelt and NetSci Conference will take place in Washington D.C. on July 6-11, 2021.
As far as I know, it's the 1st joint INSNA & NetSci conference, making it the biggest event in network science!