Top Tweets for #physnet24
The result of the #NetViz social experiment launched w\ @RollandThibaul3 last year #NetSci23 is finally released!
Enjoy it now https://t.co/TNtjUCmBbd and thanks to all the participants (n>10k!).
@NetSciConf #physnet24 #network #visualization #model #spatial
Do you like non-corrings networks? Then, how you avoid edge crossings? @F_DeVicoFallani delivering an eastetically pleasing talk on how to do this by optimally filtering edges. #physnet24 @NetSciConf

And we close this II edition of #physnet24 with @szhorvat describing a new framework based ok the beta-proximity graph to identify edgea in physical networks. Before leaving come to pick some cool t-shirts: still some available! @NetSciConf

Lost in the zoo of connectomes? @BenPiazza is guiding us through a journey across species, showing the common aspects emerging from them. Join us today #physnet24 @NetSciConf !

From edges to fermions to study clustering transitions in geometric networks. Join us at #physnet24 @NetSciConf where we are exploring the statistical mechanics of geometric graphs with by Jasper van der Jolk @j_vanderkolk.

And we are back with Daniel Barabasi @bdanubius, talking about innatedness and wiring rules in physical neural networks and how to desigj optimal artificial learning architectures. Join us #physnet24 for another cool talk @NetSciConf

Do you like non-corrings networks? Then, how you avoid edge crossings? @F_DeVicoFallani delivering an eastetically pleasing talk on how to do this by optimally filtering edges. #physnet24 @NetSciConf

And we continue our journey into physical networks with @filrad talking about shortest path percolation and its applications to real systems. #physnet24 @NetSciConf

Is physicality really essential?
Join our discussion at #physnet24 next Monday 17 at the @NetSciConf. With Nastya Salova @salova_a we will explore how physical constraints shape the structure of neural connectomes. More details at: https://t.co/m10wBZvrQI

In physical networks, knowledge about the nodes locations can often be a good proxy for connectivity. Join us on Monday 17 at the #physnet24, where @szhorvat will propose a new method to efficiently characterize proximity networks based on β-skeletons. @NetSciConf

Learning physical network architectures from neuronal connectomes. What common aspects emerge across different species? Join us next Monday, from 9am, at the #physnet24 Satellite: Ben Piazza, from the @BarabasiLab, will tell us recent findings about this topic.

The Beauty of Sparsity!
Golden-ratio rectangles eastetically please the human perception. Is there a similar phenomenon in our perception of spatial network visualization? Get ready for @F_DeVicoFallani experiment, folks! Join us next Monday at the #physnet24 Satellite!
Some like it "sparse"..., but how sparse?
Join me on Monday, June 17th @NetSciConf to know the results of the #NetViz experiment on how humans visualize spatial networks.
We got a huge number of answers ** n>10000 ** !!!
Only at #physnet24 https://t.co/tjzOxFIREB
Some like it "sparse"..., but how sparse?
Join me on Monday, June 17th @NetSciConf to know the results of the #NetViz experiment on how humans visualize spatial networks.
We got a huge number of answers ** n>10000 ** !!!
Only at #physnet24 https://t.co/tjzOxFIREB
📣PhysNet2 Satellite @NetSciConf 📣
Join us next Monday 17 at 9am. We will also talk about network geometric aspects, such as topological phase transitions occurring in random geometric graphs. @j_vanderkolk will present his recent work on this topic! #physnet24

📣📣📣PHYSICAL NETWORKS 2📣📣📣
In the brain, a paradigmatic physical network, innate behaviors shape neurons' wiring. Could this help build ANNs capable of rapid learning? Daniel Barabasi @bdanubius will guide us through recent results towards this goal. @NetSciConf #physnet24

Only one week to the II Edition of the PhysNet Satellite @NetSciConf ! Join us next Monday at 9 am. @F_DeVicoFallani will speak about spatial network drawings and how to find minimal-crossing configurations. Check out our website for more info. #physnet24 https://t.co/vu49upftys

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