George G Vega Yon boosted
Nenuial

@gabriel Have a look at @eddelbuettel fantastic R2U github.com/eddelbuettel/r2u/ It gives you R packages from CRAN as binaries. It’s blazingly fast!

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George G Vega Yon boosted
Vis Lab @ Khoury, Northeastern

Hey Mastodon! 👋 Here is our #introduction post: We are the Data Visualization Lab at Khoury College of Computer Sciences at Northeastern University. You can find more about our work here: vis.khoury.northeastern.edu/

We'd love to be connected to more folks and labs in the realms of #DataVisualization #HCI #xAI #AR #VR #VisualAnalytics #PhD #Research

Our lab has been applying visualization to domain areas like #accessibility #UAVs #Genetics #Privacy #Pedagogy #Networks #GraphTheory

Say hi!

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George G Vega Yon

The talk "The latent cognitive structures of social networks" by Izabel P. Aguiar, our latest speaker at Network Science and Social Network Analysis at the U [NetSNAU], is now available on our YouTube channel: youtu.be/BsdRwcmMmig

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George G Vega Yon boosted
Dirk Eddelbuettel

CRAN apparently crossed the 20k barrier (even after accounting for duplicated entries for multiple versions):

> db <- tools::CRAN_package_db()
> dupes <- duplicated(db[,1])
> db <- db[!dupes,]
> nrow(db)
[1] 20013
>

#RStats #thankYouCRAN

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George G Vega Yon boosted
Ben Pettis

Had a student email me after having missed several classes, and offered to send their medical records if I needed "proof" of them being absent. I had to assure them that I absolutely did not need to see those and that it was unreasonable that their other instructors have wanted it

Dear peoplr who require students to share those kinds of private information as part of an attendance policy or anything similar: stop doing cop shit

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George G Vega Yon boosted
David Schoch

I will be giving a 2h workshop on Network Analysis in #rstats in the "Workshops for Ukraine" series.

📆 Thursday, October 26th, 18:00 - 20:00 CEST

more details here: sites.google.com/view/dariia-m

Network Analysis with R Date: Thursday, October 26th, 18:00 - 20:00 CEST (Rome, Berlin, Paris timezone) Speaker: David Schoch is the team lead for "Transparent Social Analytics" in the Department Computational Social Science at GESIS in Cologne. Before joining GESIS, David was a Presidential Fellow in the Department of Sociology at the University of Manchester, affiliated with the "Mitchell Centre for Social Network Analysis". He has a PhD in Computer Science from the University of Konstanz and is the creator and maintainer of several network analysis R packages. Description: Network analysis is a multidisciplinary field that delves into the intricate web of connections and interactions among entities, whether they are individuals, organizations, or nodes in a complex system. By employing graph theory, statistical methods, and computational tools, network analysis unveils the hidden patterns, structures, and dynamics that underlie these relationships. In this workshop, I will introduce the package ecosystem for network analysis in R. I provide an overview of the key packages to conduct network studies and discuss some practical aspects. No network theory will be introduced, but I provide pointers for those who are interested to learn more beyond practical skills. Minimal registration fee: 20 euro (or 20 USD or 800 UAH)
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George G Vega Yon boosted
Jed Brown

We're looking for new editors at @joss #JOSS_TheOJ. Come join a great community who make it possible for academic publishing to recognize the overlooked scholarship underlying so much of modern science and engineering.
blog.joss.theoj.org/2023/10/ca

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George G Vega Yon boosted
MiRiNSKi

@Gargron in the supermarket today

A can of coke, printed: „Future Inspired Flavour Co-Created with AI“
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George G Vega Yon boosted
Jeff Samsonow

"Long Covid cohorts are full of young people who only developed the disability on their third, fourth or fifth infection. Almost all of them had no idea it could or *would* happen to them. Where was the warning?"
#Covid19 #LongCovid #CovidIsNotOver
thespinoff.co.nz/science/03-10

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George G Vega Yon boosted
JOSS

Just published in JOSS: 'epiworldR: Fast Agent-Based Epi Models' doi.org/10.21105/joss.05781

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George G Vega Yon boosted
Alberson Miranda :rstats:

Python x R beef makes no sense because they're so similar it's only a matter of taste. Take updating all packages:

R
update.packages(ask = FALSE)

Python
pip --disable-pip-version-check list --outdated --format=json | python -c "import json, sys; print('\n'.join([x['name'] for x in json.load(sys.stdin)]))" | xargs -n1 pip install -U

#rstats

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George G Vega Yon boosted
Mason Porter

A great fortune for a mathematician!

Fortune: "You will finally solve a difficult problem that means much to you."
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George G Vega Yon boosted
New papers in Network Science

Appl. Netw. Sci.: Differential network analysis between sex of the genes related to comorbidities of type 2 mellitus diabetes
appliednetsci.springeropen.com

Differential network analysis between sex of the genes related to comorbidities of type 2 mellitus diabetes - Applied Network Science

Background Some phenotypical changes may be related to changes in the associations among genes. The set of such associations is referred to as gene interaction (or association) networks. An association network represents the set of associations among genes in a given condition. Given two experimental conditions, Differential network analysis (DNA) algorithms analyse these differences by deriving a novel network representing the differences. Such algorithms receive as input experimental gene-expression data of two different conditions (e.g. healthy vs. diseased), then they derive experimental networks of associations among genes and, finally, they analyse differences among networks using statistical approaches. We explore the possibility to study possible rewiring due to sex factors, differently from classical approaches. Methods We apply DNA methods to evidence possible sex based differences on genes responsible for comorbidities of type 2 diabetes mellitus. Results Our analysis evidences the presence of differential networks in tissues that may explain the difference in the insurgence of comorbidities between males and females. Conclusion Main contributions of this work are (1) the definition of a novel framework of analysis able to shed light on the differences between males and females; (2) the identification of differential networks related to diabetes comorbidities.

appliednetsci.springeropen.com
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George G Vega Yon boosted
New papers in Network Science

PLOS ONE: Complexity in the dengue spreading: A network analysis approach
journals.plos.org/plosone/arti

Complexity in the dengue spreading: A network analysis approach

In an increasingly interconnected society, preventing epidemics has become a major challenge. Numerous infectious diseases spread between individuals by a vector, creating bipartite networks of infection with the characteristics of complex networks. In the case of dengue, a mosquito-borne disease, these infection networks include a vector—the Aedes aegypti mosquito—which has expanded its endemic area due to climate change. In this scenario, innovative approaches are essential to help public agents in the fight against the disease. Using an agent-based model, we investigated the network morphology of a dengue endemic region considering four different serotypes and a small population. The degree, betweenness, and closeness distributions are evaluated for the bipartite networks, considering the interactions up to the second order for each serotype. We observed scale-free features and heavy tails in the degree distribution and betweenness and quantified the decay of the degree distribution with a q–Gaussian fit function. The simulation results indicate that the spread of dengue is primarily driven by human-to-human and human-to-mosquito interaction, reinforcing the importance of controlling the vector to prevent episodes of epidemic outbreaks.

journals.plos.org
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George G Vega Yon boosted
Scientist Rebellion NL

Police water cannons are yet again turned on the scientists. Today an estimated 10,000 peaceful protestors in the Hague, are demonstrating against Dutch government subsidies to the fossil fuel industry, totalling at least 37.5 billion euros a year.

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George G Vega Yon boosted
Esteban Moro

What a fantastic program for this year's edition of @NetMob23: Official statistics, bias reduction, inequality, air pollution, economic prediction, and more incredible research/applications with mobile phone data. See you in Madrid this October!

netmob.org/program/

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George G Vega Yon

@eddelbuettel congrats! And thanks for another big contribution to the R community!

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George G Vega Yon boosted
Dirk Eddelbuettel

#r2u is breaking all the records today as two European data centers appear to do *a lot* of batch testing or building. It is midafternoon and we just broke *one million packages* for today which is orders of magnitude higher than usual.

#r2u: Fast. Easy. Reliable.

Image of Dr Evil with text illustrating that r2u shipped more than a million packages today by joking "I don't always look at r2u package counts ..." and "but I do when it is ONE MILLION packages a day"
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George G Vega Yon boosted
Mason Porter

One of the biggest dangers in studying graph theory is that you might accidentally summon a daemon when all you want is a counterexample.

One of the biggest dangers in studying graph theory is that you might accidentally summon a daemon when all you want is a counterexample.
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George G Vega Yon boosted
Carl T. Bergstrom

A Saudi man has been sentenced to death for criticizing the government on two anonymous twitter/X accounts with a total of ten followers.

www.npr.org/2023/08/31/1...

Gosh, NPR, I can't imagine how the Saudi authorities could have verified his identity on X.

But not even anonymous accounts protected users from Saudi prosecution. It's unclear how Saudi authorities were able to verify Alghamdi's identity on X.
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