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#networkscience

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New paper out! We explore connectivity patterns of railway timetables with #networkscience and #Infomap clustering, enjoy! journals.plos.org/plosone/arti

journals.plos.orgUnveiling connectivity patterns of railway timetables through complex network theory and Infomap clusteringThis study introduces a novel framework for analysing railway timetable connectivity through complex network theory and the Infomap clustering algorithm. By transforming timetable data into network representations, we systematically assess the connectivity and efficiency of the Norwegian railway system for the 2024 and projected 2033 scenarios. We define and implement the Timetable Connectivity Index (Tc), a comprehensive metric integrating service frequency, travel times, and the hierarchical network structure. The analysis is conducted across three distinct network spaces: Stops, Stations, and Changes, with both unweighted and weighted networks. Our results reveal key insights into how infrastructural developments, service frequencies, and travel time adjustments influence network connectivity. Comparative analysis of the two scenarios highlights improvements in physical infrastructure and travel time efficiency by 2033, while also identifying areas where service frequency distribution and transfer effectiveness may require further optimization. The findings provide valuable insights for railway planners and operators, aiming to improve the efficiency and reliability of train networks.

re-#introduction
Hi Fediscience! I am an Assistant Professor of Mechanical Engineering at University of Hawaiʻi at Mānoa (Honolulu). I got here starting from Physics training with many scientific detours into data-driven models, complex systems, nanomaterial self-assembly, human learning of complex networks, naval ships, and design problems.
I grew up in Belarus and have *opinions* on that region of the world. I've been on Fediverse since late 2022 when *something* happened to our previous cybersocial infrastructure, but the previous server I was on is sunsetting. Please come say hi and recommend cool people to follow here.
I have a blog with longer thoughts on science-adjacent topics.
aklishin.science/blog/
#ComplexSystems #NetworkScience #DataScience #DynamicalSystems #CollectiveBehavior #StatisticalPhysics

Andrei A. Klishin, Ph.D.Blog — Andrei A. Klishin, Ph.D.

🕸️ Netzwerk-Wissenschaft

Geograph:innen der Unis Innsbruck und Bern haben die #Netzwerke von Mobilfunkdaten analysiert. Es zeigte sich: Bei Hochwasser bewegen sich Menschen ähnlich wie bei großen Events (etwa Konzerten). Diese Erkenntnis könnte helfen, Krisen besser zu managen.

🆕uibk.ac.at/de/newsroom/2025/wi

📖 nature.com/articles/s44260-025

www.uibk.ac.atWie Konzertbesucher:innen helfen, den Katastrophenschutz zu verbessern
More from Universität Innsbruck

Some amazing #network research that revealed the top candidates for Pope recently. Of those revealed one is now the new Pope! The Vatican, and those around it, are a socio-political system where the “golden rule” is “location, location, location“
unibocconi.it/en/news/network-

#networkscience
#SNA #ONA

Bocconi UniversityIn the Network of the Conclave - Bocconi UniversityHow network science can help us understand who will be the next Pope. The study by Soda, Iorio, and Rizzo reveals how status, information and alliances influence the papal election.

📜 We've got a new article out 📜

*Angst M, Müller NN, Walker V. Automated extraction of discourse networks from large volumes of media data* (open access)

doi.org/10.1017/nws.2025.4

As part of our sustainability.discourses project, we developed an automated method to gather and track discourse networks around urban sustainable mobility, based on media data.

The article describes the approach in detail and reports an evaluation of the internal validity (do we measure what we ourselves think we measure) of the pipeline.

tl;dnr: Automating discourse network data gathering can work well to capture broader tendencies. In many cases, it is likely not worth investing in automating data gathering to understand discourse however.

Want to see the daily updated pipeline in action? Check out the web apps and resources here: sustainability.discourses.ch/e

Cambridge CoreAutomated extraction of discourse networks from large volumes of media data | Network Science | Cambridge CoreAutomated extraction of discourse networks from large volumes of media data - Volume 13
Continued thread

And here's is a list of journals in my field(s) that don't suck, based on my (own, possibly evolving) criteria. I hope it grows over time, it's still pretty bleak.
marioangst.com/en/blog/posts/j

- #sustainability Science
- Policy Studies / Political science #polsci
- #networkscience
- #digitalization research
- #socsci methods

Please, if you know of other journals in those fields that don't suck, let me know. And if you are involved with one of the journals on these lists, thanks so much for your work, you rock. And if you need reviewing or anything I can help with, let me know.

marioangst.comList of journals that don’t suck – Mario Angst