Diego R. Amancio retweeted
PLOS ONE: Complex networks applied to political analysis: Group voting behavior in the Brazilian congress
journals.plos.org/plosone/ar…
Diego R. Amancio retweeted
In a new paper, we use network analysis to examine community disputes in post-civil war Mozambique. By analyzing a range of conflicts, from domestic disputes to wartime accusations, we reveal the deep-rooted tensions that persist in the region.
sciencedirect.com/science/ar…
Diego R. Amancio retweeted
I've just found out that our work has been covered by Fox News.
foxnews.com/health/researche…
Diego R. Amancio retweeted
Today in @Nature, I laid out our vision of using AI to help universities maximize their research impacts.
Key Q: Can we use data and AI tools to help a university locate key ideas and personnel to maximize its impact and accelerate progress?
nature.com/articles/d41586-0…
🧵 1/
Diego R. Amancio retweeted
In our new preprint on @arxiv , we show that including socio-economic data in epidemic forecasting can result in more accurate results. We consider data from Dengue, Zika, COVID-19 and Influenza. With @luizalober and Kirstin Roster.
arxiv.org/abs/2405.01422
Diego R. Amancio retweeted
My review of Machine Learning has been published in @epl_journal:
iopscience.iop.org/article/1…
#Analytics #DataScience #physics #MachineLearning #science #USP
Diego R. Amancio retweeted
Wow, there's a bit of interest for our methodological definition of mindset streams, i.e. considering conflicting, positive and negative paths of conceptual associations in semantic networks.
Read the published paper here from our CogNosco Lab:
sciencedirect.com/science/ar…
Diego R. Amancio retweeted
Unveiling the dynamic landscape of materials science through the power of NLP and networks! Energy materials, organic electronics, and nanomedicine top the chart in our latest perspective. Check out our new paper #MaterialsResearch #ScienceOfScience pubs.acs.org/doi/10.1021/acs… – at Cupertino, CA
Diego R. Amancio retweeted
Two excellent reviews about PCA:
Principal component analysis
nature.com/articles/s43586-0…
Principal Component Analysis: A Natural Approach to Data Exploration
dl.acm.org/doi/abs/10.1145/3…
@LdaFCosta
Diego R. Amancio retweeted
Feeling let down by the latest paper review. Only one out of 5 reviewers provided a thoughtful critique, while the others gave generic comments (in < 2 lines) or suggested irrelevant citations (12 of his unrelated works). Is the quality of reviews diminishing in some fields?
Diego R. Amancio retweeted
Just released #openalexnet #beta: a Python library & cli app for processing & obtaining data from the extensive @OpenAlex_org scholarly dataset. Generate citation & coauthorship networks for your #scientometrics & #scienceofscience studies. Check it out: github.com/filipinascimento/…
Diego R. Amancio retweeted
We must have written the most controversial paper of all time because 11 reviewers couldn't get enough of it! Unfortunately, the editor kindly rejected it. On the bright side, we'll never have to deal with trying to address a million comments and suggestions!
Diego R. Amancio retweeted
Our new paper on @PLOSONE. By using network modelling and machine learning, we can automatically detect changes in brain activity during ayahuasca consumption.
journals.plos.org/plosone/ar…
Diego R. Amancio retweeted
Minha palestra no IFSC-USP: A era da complexidade
youtube.com/watch?v=YCcmmSX3…
Diego R. Amancio retweeted
In this paper we check if full-text content can be used to predict if a book will be a best-seller or not. We found it is possible to achieve an acceptable level of predictions using doc2vec. We also explore a few ways to interpret the results via SemAxis and by using metadata.
Our new preprint is out: "Using full-text content to characterize and identify best seller books."
arxiv.org/abs/2210.02334
Diego R. Amancio retweeted
Hey guys, have a look at our new paper: nature.com/articles/s41467-0…
Diego R. Amancio retweeted
New pre-print 🔥
We review #multilayer networks in cognitive science and outline key phenomena that emerge only when multiple layers of conceptual #knowledge are combined.
Great collab w. @dsalvaz @GiulioRossetti @dan_marinazzo @yoed_kenett @mvitevit
👇☺️
arxiv.org/abs/2210.00500
Diego R. Amancio retweeted
New publication! 🚨
I was glad to coordinate this collaboration with a dream team, @AlfonsoSemeraro @sal_vilella and @giaruffo, about emotional profiling of #mainstream and #alternative news reporting #COVID19 #vaccines in Italy:
nature.com/articles/s41598-0…
Diego R. Amancio retweeted
Congrats to @Systems_MDPI for their new impact factor of 2.89 👌
To celebrate that, I would like to highlight a small paper of mine where I show how #textual #networks can be used to profile how different news outlets framed the same #pandemic concept 👇
mdpi.com/2079-8954/8/4/38















