#networkscience — Public Fediverse posts

🧠 What if missing data is not a flaw, but one of the most informative parts of a complex system?

🔗 Informative Missingness in Nominal Data: A Graph-Theoretic Approach to Revealing Hidden Structure. Computational and Structural Biotechnology Journal (CSBJ). DOI: https://doi.org/10.34133/csbj.0099

📚 CSBJ - A Science Partner Journal: https://spj.science.org/journal/csbj

#DataScience #BigData #GraphTheory #ComputationalBiology #NetworkScience #Bioinformatics #SystemsBiology #BiomedicalResearch #MissingData

🧠 What if missing data is not a flaw, but one of the most informative parts of a complex system?

🔗 Informative Missingness in Nominal Data: A Graph-Theoretic Approach to Revealing Hidden Structure. Computational and Structural Biotechnology Journal (CSBJ). DOI: https://doi.org/10.34133/csbj.0099

📚 CSBJ - A Science Partner Journal: https://spj.science.org/journal/csbj

#DataScience #BigData #GraphTheory #ComputationalBiology #NetworkScience #Bioinformatics #SystemsBiology #BiomedicalResearch #MissingData

🧠 What if missing data is not a flaw, but one of the most informative parts of a complex system?

🔗 Informative Missingness in Nominal Data: A Graph-Theoretic Approach to Revealing Hidden Structure. Computational and Structural Biotechnology Journal (CSBJ). DOI: https://doi.org/10.34133/csbj.0099

📚 CSBJ - A Science Partner Journal: https://spj.science.org/journal/csbj

#DataScience #BigData #GraphTheory #ComputationalBiology #NetworkScience #Bioinformatics #SystemsBiology #BiomedicalResearch #MissingData

🧠 What if missing data is not a flaw, but one of the most informative parts of a complex system?

🔗 Informative Missingness in Nominal Data: A Graph-Theoretic Approach to Revealing Hidden Structure. Computational and Structural Biotechnology Journal (CSBJ). DOI: https://doi.org/10.34133/csbj.0099

📚 CSBJ - A Science Partner Journal: https://spj.science.org/journal/csbj

#DataScience #BigData #GraphTheory #ComputationalBiology #NetworkScience #Bioinformatics #SystemsBiology #BiomedicalResearch #MissingData

🧠 What if missing data is not a flaw, but one of the most informative parts of a complex system?

🔗 Informative Missingness in Nominal Data: A Graph-Theoretic Approach to Revealing Hidden Structure. Computational and Structural Biotechnology Journal (CSBJ). DOI: https://doi.org/10.34133/csbj.0099

📚 CSBJ - A Science Partner Journal: https://spj.science.org/journal/csbj

#DataScience #BigData #GraphTheory #ComputationalBiology #NetworkScience #Bioinformatics #SystemsBiology #BiomedicalResearch #MissingData

DataSci.social is a Mastodon server for researchers & practitioners in human-centric data science, broadly defined. For example human-centric network science, social data science, computational social science, geospatial data science.

:Fediverse: https://datasci.social

You can find out more at https://datasci.social/about or contact the admin account @mszll

#FeaturedServer #DataScience #DataSci #NetworkScience #SocialScience #Geospatial #Mastodon #Fediverse #FreeFediverse

DataSci.social is a Mastodon server for researchers & practitioners in human-centric data science, broadly defined. For example human-centric network science, social data science, computational social science, geospatial data science.

:Fediverse: https://datasci.social

You can find out more at https://datasci.social/about or contact the admin account @mszll

#FeaturedServer #DataScience #DataSci #NetworkScience #SocialScience #Geospatial #Mastodon #Fediverse #FreeFediverse

DataSci.social is a Mastodon server for researchers & practitioners in human-centric data science, broadly defined. For example human-centric network science, social data science, computational social science, geospatial data science.

:Fediverse: https://datasci.social

You can find out more at https://datasci.social/about or contact the admin account @mszll

#FeaturedServer #DataScience #DataSci #NetworkScience #SocialScience #Geospatial #Mastodon #Fediverse #FreeFediverse

DataSci.social is a Mastodon server for researchers & practitioners in human-centric data science, broadly defined. For example human-centric network science, social data science, computational social science, geospatial data science.

:Fediverse: https://datasci.social

You can find out more at https://datasci.social/about or contact the admin account @mszll

#FeaturedServer #DataScience #DataSci #NetworkScience #SocialScience #Geospatial #Mastodon #Fediverse #FreeFediverse

DataSci.social is a Mastodon server for researchers & practitioners in human-centric data science, broadly defined. For example human-centric network science, social data science, computational social science, geospatial data science.

:Fediverse: https://datasci.social

You can find out more at https://datasci.social/about or contact the admin account @mszll

#FeaturedServer #DataScience #DataSci #NetworkScience #SocialScience #Geospatial #Mastodon #Fediverse #FreeFediverse

New paper. With Ekaterina Vasileva, Liubov Tupikina, Dmitry Fedorov, Daniil Musatov, Andrei Raigorodskii and Stefano Boccaletti.

The naive generalization of the concept of distance to hypergraphs is equivalent to applying a clique-projection approximation. However, this is known to induce loss of information, especially in networks where the higher-order interactions are very important. To fix this problem,we introduce a new definition of distance on weighted higher-order networks, which includes the case of unweighted hypergraphs and classic graph distance as particular cases, and allows one to account for different meanings associated to the weights. We also show what difference this makes in analyses of real-world data.

https://www.nature.com/articles/s42005-026-02592-w

#mathematics #physics #graphtheory #graphs #hypergraphs #higherordernetworks #networkscience #networks

New paper. With Ekaterina Vasileva, Liubov Tupikina, Dmitry Fedorov, Daniil Musatov, Andrei Raigorodskii and Stefano Boccaletti.

The naive generalization of the concept of distance to hypergraphs is equivalent to applying a clique-projection approximation. However, this is known to induce loss of information, especially in networks where the higher-order interactions are very important. To fix this problem,we introduce a new definition of distance on weighted higher-order networks, which includes the case of unweighted hypergraphs and classic graph distance as particular cases, and allows one to account for different meanings associated to the weights. We also show what difference this makes in analyses of real-world data.

https://www.nature.com/articles/s42005-026-02592-w

#mathematics #physics #graphtheory #graphs #hypergraphs #higherordernetworks #networkscience #networks

New paper. With Ekaterina Vasileva, Liubov Tupikina, Dmitry Fedorov, Daniil Musatov, Andrei Raigorodskii and Stefano Boccaletti.

The naive generalization of the concept of distance to hypergraphs is equivalent to applying a clique-projection approximation. However, this is known to induce loss of information, especially in networks where the higher-order interactions are very important. To fix this problem,we introduce a new definition of distance on weighted higher-order networks, which includes the case of unweighted hypergraphs and classic graph distance as particular cases, and allows one to account for different meanings associated to the weights. We also show what difference this makes in analyses of real-world data.

https://www.nature.com/articles/s42005-026-02592-w

#mathematics #physics #graphtheory #graphs #hypergraphs #higherordernetworks #networkscience #networks

New paper. With Ekaterina Vasileva, Liubov Tupikina, Dmitry Fedorov, Daniil Musatov, Andrei Raigorodskii and Stefano Boccaletti.

The naive generalization of the concept of distance to hypergraphs is equivalent to applying a clique-projection approximation. However, this is known to induce loss of information, especially in networks where the higher-order interactions are very important. To fix this problem,we introduce a new definition of distance on weighted higher-order networks, which includes the case of unweighted hypergraphs and classic graph distance as particular cases, and allows one to account for different meanings associated to the weights. We also show what difference this makes in analyses of real-world data.

https://www.nature.com/articles/s42005-026-02592-w

#mathematics #physics #graphtheory #graphs #hypergraphs #higherordernetworks #networkscience #networks

New paper. With Ekaterina Vasileva, Liubov Tupikina, Dmitry Fedorov, Daniil Musatov, Andrei Raigorodskii and Stefano Boccaletti.

The naive generalization of the concept of distance to hypergraphs is equivalent to applying a clique-projection approximation. However, this is known to induce loss of information, especially in networks where the higher-order interactions are very important. To fix this problem,we introduce a new definition of distance on weighted higher-order networks, which includes the case of unweighted hypergraphs and classic graph distance as particular cases, and allows one to account for different meanings associated to the weights. We also show what difference this makes in analyses of real-world data.

https://www.nature.com/articles/s42005-026-02592-w

#mathematics #physics #graphtheory #graphs #hypergraphs #higherordernetworks #networkscience #networks

@shtrom we just did a section on this in my #NetworkScience class! I find it really clever and interesting!

My next #NetworkScience project is about scaling #tagspub.

If you follow a hashtag in Mastodon, the number of people that provide potential content to you is total number of people on your server plus the total number of unique people followed by everyone on your server.

If you follow a tags.pub account, the number if people that provide potential content to you is the total number of unique people that provide content to tags.pub -- through relays or the followback bot.

Unfortunately the end of semester assignment for my #NetworkScience class is due the day after the #wmhack hackathon is over. I've been working on it in the morning and evening, and I haven't had time to see Milan at all. So, I changed my flight home from Monday to Wednesday, and I'll take a couple of days to be here in the city itself.

Understanding complex systems means understanding interactions, not just components, and that's crucial to quantify risk. After two years of work on ADAPTSYS, see the project website & short teaser: 🌐 adaptsys.it 🎥 www.youtube.com/watch?v=sG9y... #ComplexSystems #NetworkScience #DataScience #AI

FIS1 Project: ADAPTSYS

As part of my #NetworkScience work in my masters degree program, I have been thinking about how to do some analysis on Fediverse data. I was so impressed to see that there is a data set, #FediData, with anonymised data from the Fediverse.

https://dl.acm.org/doi/10.1145/3746252.3761634

I used a very mixed qual-quant method, based on AI assisted coding (https://doi.org/10.48550/arXiv.2505.00012) and graphs (my own work: https://doi.org/10.1177/1525822X20908236).

#networkScience

2/n

Bon, je me plains régulièrement que j'ai pas le temps de faire de la recherche (#VisMaVieDeMCF) mais par contre il faut reconnaître qu'en termes d'opportunités d'encadrement, l'interdisciplinaire c'est le pied. J'ai actuellement une doctorante dont le sujet est à l'interface entre #PhysiqueStatistique et #NetworkScience et un deuxième à l'interface entre #NetworkScience et #Sociologie. Suivront une thèse sur la modélisation des contributions à Wikipedia (#NetworkScience #Sociologie #Gestion) et peut-être une autre entre #Neuroscience et #Sociophysics . Et là un collègue me propose de co-diriger une thèse entre #Mathematiques et #PhysiqueStatistique. Et tout ça avec que des gens super sympas et intéressants !

Ça va pas alléger ma charge de travail tout ça, mais quand même ça fait plaisir de pouvoir participer à des travaux aussi variés.

⭐Learn how to use the Retina tool, a free, open-source web application for sharing network visualizations online.

Retina is developed by @ouestware for TommasoVenturini from CNRS Center Internet et Société.
_____

I invite you to read my Medium article about this tool, where you will find all the details and a step-by-step tutorial to create your first network using this useful tool.

🔗https://medium.com/@vespinozag/retina-a-free-open-source-web-application-to-share-network-visualizations-online-9fe11454ddc1

#NetworkScience #Gephi

⭐Learn how to use the Retina tool, a free, open-source web application for sharing network visualizations online.

Retina is developed by @ouestware for TommasoVenturini from CNRS Center Internet et Société.
_____

I invite you to read my Medium article about this tool, where you will find all the details and a step-by-step tutorial to create your first network using this useful tool.

🔗https://medium.com/@vespinozag/retina-a-free-open-source-web-application-to-share-network-visualizations-online-9fe11454ddc1

#NetworkScience #Gephi

⭐Learn how to use the Retina tool, a free, open-source web application for sharing network visualizations online.

Retina is developed by @ouestware for TommasoVenturini from CNRS Center Internet et Société.
_____

I invite you to read my Medium article about this tool, where you will find all the details and a step-by-step tutorial to create your first network using this useful tool.

🔗https://medium.com/@vespinozag/retina-a-free-open-source-web-application-to-share-network-visualizations-online-9fe11454ddc1

#NetworkScience #Gephi

⭐Learn how to use the Retina tool, a free, open-source web application for sharing network visualizations online.

Retina is developed by @ouestware for TommasoVenturini from CNRS Center Internet et Société.
_____

I invite you to read my Medium article about this tool, where you will find all the details and a step-by-step tutorial to create your first network using this useful tool.

🔗https://medium.com/@vespinozag/retina-a-free-open-source-web-application-to-share-network-visualizations-online-9fe11454ddc1

#NetworkScience #Gephi

⭐Meet SCImago Graphica: A new way to explore, visually communicate and make sense of data. This tool is completely free!

I am sharing a poster I created featuring some of the visualizations that can be generated with this tool. I also invite you to read my Medium article about this tool, where you will find all the details.

🔗https://medium.com/@vespinozag/meet-scimago-graphica-a-new-way-to-explore-visually-communicate-and-make-sense-of-data-861fb7226dbc

#NetworkScience #DataViz

A computational framework capable of reconstructing the connectivity of massive, complex networks by measuring only a single data signal from each node, rather than tracking every internal variable.
#Engineering #SystemsScience #NetworkScience #sflorg
https://www.sflorg.com/2026/01/eng01312601.html

A computational framework capable of reconstructing the connectivity of massive, complex networks by measuring only a single data signal from each node, rather than tracking every internal variable.
#Engineering #SystemsScience #NetworkScience #sflorg
https://www.sflorg.com/2026/01/eng01312601.html

A computational framework capable of reconstructing the connectivity of massive, complex networks by measuring only a single data signal from each node, rather than tracking every internal variable.
#Engineering #SystemsScience #NetworkScience #sflorg
https://www.sflorg.com/2026/01/eng01312601.html

A computational framework capable of reconstructing the connectivity of massive, complex networks by measuring only a single data signal from each node, rather than tracking every internal variable.
#Engineering #SystemsScience #NetworkScience #sflorg
https://www.sflorg.com/2026/01/eng01312601.html

A computational framework capable of reconstructing the connectivity of massive, complex networks by measuring only a single data signal from each node, rather than tracking every internal variable.
#Engineering #SystemsScience #NetworkScience #sflorg
https://www.sflorg.com/2026/01/eng01312601.html

⭐Meet the Gephi Color Palette and Make Beautiful Visualizations

Gephi is the leading visualization and exploration software for all kinds of graphs and networks. Gephi is open-source and free.

I’m sharing a series of tutorials to learn Gephi: https://www.veronicaespinoza.org/gephi-tutorials
____
#gephi @Gephi #NetworkScience #DataScience #DataVisualization

⭐Meet the Gephi Color Palette and Make Beautiful Visualizations

Gephi is the leading visualization and exploration software for all kinds of graphs and networks. Gephi is open-source and free.

I’m sharing a series of tutorials to learn Gephi: https://www.veronicaespinoza.org/gephi-tutorials
____
#gephi @Gephi #NetworkScience #DataScience #DataVisualization

⭐Meet the Gephi Color Palette and Make Beautiful Visualizations

Gephi is the leading visualization and exploration software for all kinds of graphs and networks. Gephi is open-source and free.

I’m sharing a series of tutorials to learn Gephi: https://www.veronicaespinoza.org/gephi-tutorials
____
#gephi @Gephi #NetworkScience #DataScience #DataVisualization

⭐Meet the Gephi Color Palette and Make Beautiful Visualizations

Gephi is the leading visualization and exploration software for all kinds of graphs and networks. Gephi is open-source and free.

I’m sharing a series of tutorials to learn Gephi: https://www.veronicaespinoza.org/gephi-tutorials
____
#gephi @Gephi #NetworkScience #DataScience #DataVisualization

⭐Meet the Gephi Color Palette and Make Beautiful Visualizations

Gephi is the leading visualization and exploration software for all kinds of graphs and networks. Gephi is open-source and free.

I’m sharing a series of tutorials to learn Gephi: https://www.veronicaespinoza.org/gephi-tutorials
____
#gephi @Gephi #NetworkScience #DataScience #DataVisualization

🎓Want to learn Gephi? Don’t think twice!
⭐I’m sharing five helpful learning resources !

1- https://gephi.org/quickstart/

2- https://jacomyma.github.io/mapping-controversies/#visualizing-networks-gephi

3- https://martingrandjean.ch/gephi-introduction/

4- https://seinecle.github.io/gephi-tutorials/

5- https://www.veronicaespinoza.org/gephi-tutorials

#Networkscience #Gephi #DataScience #Dataviz @Gephi

🎓Want to learn Gephi? Don’t think twice!
⭐I’m sharing five helpful learning resources !

1- https://gephi.org/quickstart/

2- https://jacomyma.github.io/mapping-controversies/#visualizing-networks-gephi

3- https://martingrandjean.ch/gephi-introduction/

4- https://seinecle.github.io/gephi-tutorials/

5- https://www.veronicaespinoza.org/gephi-tutorials

#Networkscience #Gephi #DataScience #Dataviz @Gephi

New paper led by Alessandra Corso and @[email protected] at @[email protected] just out: www.nature.com/articles/s42... #ComplexSystems #HumanBrain #NetworkScience #CoMuNeLab /fin

🎓Do you want to learn how to use the new version of Gephi Lite?
I’m sharing a tutorial I’ve prepared.
__
Gephi Lite v1.0.1: Complete Beginner’s Tutorial
🔗https://medium.com/@vespinozag/gephi-lite-v1-0-1-complete-beginners-tutorial-200eaa4b9d0d
__
@Gephi
#networkscience #gephi #socialmedia

#NetworkScience
https://social.skewed.de/@netzschleuder/115746118342262466

🎄Want to learn Gephi during the holidays?

I’m sharing tutorials I’ve written on Gephi and Gephi Lite.
Wishing you a wonderful holiday season. 🎄

You can find all my tutorials here:
👉https://www.veronicaespinoza.org/gephi-tutorials

@Gephi #gephi #networkscience

I feel in debt for the amazing discussions I had over 3 years with colleagues, too many to list here (but listed in the acks!) #ComplexSystems #NetworkScience #SystemsBiology #Evolution #NonEquilibrium #Evolvability 👉 Paper: iopscience.iop.org/article/10.1... 8/

🍊Meet Orange Data Mining Tool
Open source machine learning and data visualization

Place widgets on the canvas, connect them, load your datasets, and harvest the insight!
Specialized add-ons can perform text mining, network analysis, machine learning, time series, survival data sets, spectra, or gene expressions.

👇Here I’m sharing a demo I created using the add-on for network analysis.

Website 🔗https://orangedatamining.com

#NetworkScience #dataviz #MachineLearning #AI #DataScience #AI

User-Guided Force-Directed Graph Layout ArXiv [Preprint] 2025
Authors: Hasan Balci, Augustin Luna

"User-guided force-directed graph layout is a layout approach that lets users specify their desired layout structure by drawing sketches (e.g., rectangle, L-shape)"

GitHub 🔗https://github.com/sciluna/sketchlay?tab=readme-ov-file
Paper 🔗https://pmc.ncbi.nlm.nih.gov/articles/PMC12306815/

👇The video included in this post was taken from the author's GitHub repository.

#NetworkScience #DataScience #Graph #MachineLearning #DataVisualization

✨Meet Cytoscape: Open Source Software for Visualizing Complex Networks

I share an article I wrote on Medium about this tool:

🔗https://medium.com/@vespinozag/cytoscape-open-source-software-for-visualizing-complex-networks-9e8175b32723

#Cytoscape #NetworkScience #MachineLearning #DataVisualization #Bioinformatics #ComplexNetworks

🦠 Pandemics don’t spread randomly - they follow the paths we create through our social lives and movements.

📖 🔊 Read and listen about how networks shape outbreaks: https://www.worldpop.org/blog/how-our-social-connections-shape-the-spread-of-disease-what-new-research-reveals/

#InfectiousDisease #NetworkScience #HealthBehaviours #Epidemics #DataScience

🦠 Pandemics don’t spread randomly - they follow the paths we create through our social lives and movements.

📖 🔊 Read and listen about how networks shape outbreaks: https://www.worldpop.org/blog/how-our-social-connections-shape-the-spread-of-disease-what-new-research-reveals/

#InfectiousDisease #NetworkScience #HealthBehaviours #Epidemics #DataScience

🦠 Pandemics don’t spread randomly - they follow the paths we create through our social lives and movements.

📖 🔊 Read and listen about how networks shape outbreaks: https://www.worldpop.org/blog/how-our-social-connections-shape-the-spread-of-disease-what-new-research-reveals/

#InfectiousDisease #NetworkScience #HealthBehaviours #Epidemics #DataScience