If you had the feeling that the online discussion about COVID-19 vaccines was biased depending on the actors, you are right.
Using #MachineLearning and #NetworkScience we have shown that being a human or a bot, verified or unverified (according to previous Twitter rules) and political leaning were relevant factors for choosing the words in posts and, accordingly, the corresponding emotions to trigger.
A genuine computational social science study, led by Anna Bertani for her Msc thesis, now published also in collaboration with Riccardo Gallotti and Pierluigi Sacco
A network that shaped our present: ~400,000 km of roads connecting thousands of cities & villages.
An emblematic physical manifestation of complex adaptive systems, allowing for goods, people and cultures to flow through continents and flourish along millennia.
Reading this from Ecological Complexity: “The adaptive cycle: More than a metaphor” and wondering if you have favorite non-metaphorical perspectives on measuring adaptive capacity in organizations and networks?
Quiz: can you guess what it is (in terms of a general dynamical process or even using a specific example) just by watching how the system changes over time?
Hi fellow academics! I was wondering if y'all can give me some feedback on the poster I am working on for IJCAI (https://ijcai-23.org/)? I'm playing a bit with the design and how to make it attractive.
I'm attaching two screenshots. My questions are about the big eye-catcher in the middle. If you have a minute, can you please let me know what you think?
Do you get the reference?
Does the effort to make the reference distract you?
Do you think that the text in the big pink box has NSFW vibes?
Does the text in the big pink box help to pique your interest in the poster?
I'm finally reading Pessoa's The Cognitive-Emotional Brain, and I wrote a brief essay on it. I'm staying pretty high level, even though the book is pretty detailed and technical.
I hope to write a few posts on general thoughts as I read through it. I wish I'd gotten to it in grad school, because there's a lot of thoughtful analysis there!
you can fast-read most of it... except for the last three chapters, when starts the proposal of rethinking #neurotheory in regards of #complexsystems & #networkscience ;)
As postgrowth economists move beyond neoclassical economics , we need techniques of analysis that incorporate qualitative information. My coauthors and I have looked into a data representation in network form for large-scale ethnographies. Since these networks tend to be large and dense, we propose some techniques to reduce them, and ground them in major approaches in #anthropology and #sociology.
A different kind of Congressional polarization: U.S. House staff co-employment, 2011Q1–2022Q4.
Two nodes are connected if the same U.S. House member employed them. Nodes are colored by both party affiliation (blue for Democrats, red for Republicans, purple for both) and gender (darker for male reps, lighter for female reps).
Package XGI was submitted to @pyOpenSci and is awaiting review (link to the submission in the first comment)! If you don't have time but know someone that could be interested, please, share this post!
Personal: I am very happy to announce that I have accepted a tenure-track Assistant Professor position at the University of Groningen. Looking forward to further collaborations, and am glad to continue working within the Information Systems Group at the Bernoulli Institute.
Datasci.social is a server for researchers & practitioners in human-centric data science, broadly defined, like network science, computational social science, geospatial data science: