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#networkscience

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Mario Angst

📜 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
#CompSocSci#policystudies#networkscience
Public
ScienceOpen

'Network Medicine' is an #OpenAccess, peer-reviewed journal focused on interdisciplinary approaches to exploiting the power of #BigData by applying #NetworkScience and #SystemsThinking to #Medicine. It yields major breakthroughs towards mechanism-based redefinitions of diseases for high-precision #Diagnostics and #Treatments: drugrepocentral.scienceopen.co

ScienceOpenNetwork Medicine<p><strong><em>Network </em></strong><strong><em>Medicine </em></strong>is an open access, peer-reviewed journal focused on interdisciplinary approaches to exploiting the power of big data by applying network science and systems thinking to medicine. <strong><em>Network</em></strong><strong><em> Medicine</em></strong> yields major breakthroughs towards mechanism-based re-definitions of diseases for high-precision diagnostics and treatments, proof-of-concept trials, confirmatory trials, pharmacoepidemiology.</p><p><strong>e-ISSN:</strong>  2941-251X</p>
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Mario Angst

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
Public
Fedi.Garden 🌱

Datasci.social is a Mastodon server for nice and diverse people who are researching human-centric data science and adjacent topics such as human-centric network science, social data science, urban/geospatial data science, computational social science.

:Fediverse: datasci.social

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

Mastodon hosted on datasci.socialdatasci.socialCommunity of researchers & practitioners in human-centric data science, broadly defined, like network science, computational social science, geospatial data science.
#FeaturedServer#DataScience#NetworkScience
Public
SPQR

Policies must be flexible and responsive, adjusting to evolving conditions much like navigating an evolving trajectory in a high-dimensional state space. We can’t pretend to tell this to any decision maker, at least not in these terms, and scientists worldwide struggle to do their best to bring on the tables of policy and decision makers. They must be heard: their insights must inform decision-making at every level.
#complexity #policy #networkscience #systems #science open.substack.com/pub/manlius/

Complexity Thoughts · Risks of linear thinking in a complex worldBy Complexity Thoughts
Public
Tiago Peixoto

Reminder that we've got a 3-year post-doc position open at the @invcomplexity, IT:U Linz, Austria, on complex systems and network science!

The deadline is Nov 30.

Please get in contact if you have any questions about the position.

More information at: skewed.de/lab/call.html

#complexsystems #networkscience @academicchatter @complexsystems @networkscience

https://social.skewed.de/users/tiago/statuses/113312253289238014
social.skewed.deTiago Peixoto (@tiago@social.skewed.de)Attached: 1 image 🚨Job alert!🚨 Come join us at the Inverse Complexity Lab! @invcomplexity We’re hiring a post-doctoral researcher to join our group at IT:U, Linz, Austria. https://skewed.de/lab/call.html Deadline is 30 Nov 2024. We are looking for an early-stage or more advanced postdoctoral scholar who is interested in building on our ongoing projects, or developing their own research agenda related to inverse problems in network science, complex systems modeling, and/or connections to machine learning. This position is not bound to a particular research project, and the successful applicant will enjoy intellectual independence and freedom to choose research topics. We’re seeking applicants with a background in Physics, Computer Science, Statistics, Applied Mathematics, or related fields, and with an interest in interdisciplinary research. This position is guaranteed for 3 years. The gross salary range is € 66,532 to € 72,000 (indexed for inflation), depending on previous experience. The employment conditions in Austria include completely free health care (also for family members), social security benefits, 25 days per year of paid vacations, flexible working hours, and possibility of home office. In addition, IT:U will provide a KlimaTicket—a unified transport pass which gives free access to the entire transportation system in Austria, including trains and local public transport. Location IT:U is a brand new public university in Austria, which began operations with its first cohort of professors in 2024, and is devoted to interdisciplinary research. It is co-located with the Johannes Kepler Universität in Linz, at the Science Park campus. Linz is the third largest city in Austria with a population of 200k, centrally located only 1h15m away from Vienna by train, and short connections to Germany, Italy, and other neighboring countries. For more information, see the call at https://skewed.de/lab/call.html Spread the word! #networkscience @academicchatter@a.gup.pe
Public
Vis Lab @ Khoury, Northeastern

Are you the kind of person who likes detangling christmas lights? Love it or hate it, you will enjoy @KhouryVis members' speedup techniques for optimal crossing minimization at 3:15pm EST on Wednesday #IEEEVIS ft. @codydunne @cwilson @sara_picorana

pubmed.ncbi.nlm.nih.gov/392596

ieeevis.org/year/2024/program/ #Networks #Graphs #NetworkScience #GraphDrawing #algorithms #Math #optimization #mathstodon

We aim to create faster and more scalable methods of fnding layered graph layouts with the minimum number of crossings. We characterize nine techniques to improve the performance of an integer linear programming (ILP) formulation and empirically test their improvement. We call these switches since they can be toggled and combined. Here, we show the performance of two switches and highlight an optimal control fow graph layout from our case study, with fnal node placements generated by the bendiness reduction of Di Bartolomeo et al. [9] performed in sequence after crossing minimization (full layouts available at https://osf.io/5vq79). These control fow graphs can grow very large but beneft from minimal crossing visualizations to aid human task performance.
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