Bas Hofstra

Bas Hofstra

@bashofstra.bsky.social

Assistant Professor of Sociology, Radboud University | prior Utrecht University & Stanford University | member Radboud Young Academy | networks | sci of science | big data www.bashofstra.com

240 followers483 following53 posts

Bas Hofstra reposted

Bas Hofstra reposted

On the uses of computational text analysis methods in sociology. Excited to share 🙌 Huge thanks to my co-authors for such a rewarding collaboration doi.org/10.1007/s115...

Heinz Leitgöb@heinzleitgoeb.bsky.social

A highly-recommendable state-of-the-art discussion of computational text analysis for theory building and testing by @mhbodell.bsky.social , @marckeuschnigg.bsky.social , @anamacanovic.bsky.social , and @anmen.bsky.social: link.springer.com/article/10.1...

Thrilled that we were awarded a LISS panel grant, with @rensec.bsky.social & Beate Völker! With the grant we realize survey time in the LISS panel to measure change in extended networks that include both strong and weak ties. We apply a new instrument: the network scale-up method in the panel

ODISSEI@odissei.bsky.social

Due to the high number of extraordinary proposals for the 2025 LISS panel Grant, ODISSEI and Centerdata have decided to award additional projects 🌟 The grantees will explore themes surrounding domestic gender imbalances, political polarization, and more. Read more here: edu.nl/nv8x4

Bas Hofstra reposted

Due to the high number of extraordinary proposals for the 2025 LISS panel Grant, ODISSEI and Centerdata have decided to award additional projects 🌟 The grantees will explore themes surrounding domestic gender imbalances, political polarization, and more. Read more here: edu.nl/nv8x4

Bas Hofstra reposted

A new publication at www.pnas.org/doi/10.1073/... We find that religious markers (esp. beards) can reduce perceived trustworthiness in Turkey. (That's why you often see me clean shaven ;-)

pnas.orgReligious markers reduce perceived trustworthiness in a Muslim-majority country | PNASFirst impressions often hinge on visible cues, leading people to infer the trustworthiness of strangers from their appearance and dress. While reli...
Sociology at Oxford@sociologyoxford.bsky.social

📝 Research from Turkey finds that visible religious markers like headscarves & beards can reduce perceived trustworthiness among strangers 🤝 This held even among highly religious respondents - challenging the idea that these markers signal trust. 🔗 www.sociology.ox.ac.uk/article/reli...

It combines longitudinal register data on salaries and, uniquely, matches that to survey data on PhD holders to follow their careers. This enables to precisely pinpoint how gender inequities in salaries develop after a PhD both within and outside the university.

Whether or not to be afraid of awkward discussions about politics during family diners over the holiday? 🎄 Find out in our paper here: www.sciencedirect.com/science/arti... Excited to share our open access study just published in Social Networks by myself, Thijmen Jeroense, and Jochem Tolsma!

sciencedirect.comThe impact of dyads and extended networks on political talk: A factorial survey experiment in the NetherlandsOpen political dialogue is regarded as foundational to democratic health and our social fabric. Here, we study political dialogue by examining with wh…
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-Homophily on gender, ethnic background, or political opinion similarity surprisingly has little effects - Whether you know someone well, and friends much more so than family, seems more important than whether you look alike

This was a very cool paper to write and combines complicated Bayesian NSUM models and vignette experiments with a very important sociological topic – i.e., discussing politics is a vehicle to de-polarize society. Here is the open replication website to the paper: politicaltalk.netlify.app

politicaltalk.netlify.appREPLICATION PACKAGE: The Impact of Extended Networks on Political Talk: A Factorial Survey Experiment Among Multiple Ethnic Groups in the Netherlands

Whether or not to be afraid of awkward discussions about politics during family diners over the holiday? 🎄 Find out in our paper here: www.sciencedirect.com/science/arti... Excited to share our open access study just published in Social Networks by myself, Thijmen Jeroense, and Jochem Tolsma!

sciencedirect.comThe impact of dyads and extended networks on political talk: A factorial survey experiment in the NetherlandsOpen political dialogue is regarded as foundational to democratic health and our social fabric. Here, we study political dialogue by examining with wh…

🔭What do we study? - We ran an experiment with thousands of people in the Netherlands as to how they choose political discussion partners - We consider dyadic similarity and extended networks using network scale-up methodology

🧐 What do we find? - The overwhelming majority of people in the Netherlands (>70%) disclose political opinions or engage in substantive debate - Men do so more often than women, as do theoretically educated rather than practically educated people

Bas Hofstra reposted

This is an important paper for institutes that want to engage more with non-academic audiences. @eui-eu.bsky.social

European Sociological Review@europeansocreview.bsky.social

📢 New #OpenAccess! Why do some professors appear in the media far more than others? #RH_Heiberger @BasHofstra #S_Unger find both patterns of cumulative advantage & gender inequality, with men more likely to become “short-listed”! ➡️ Read it ungated at: doi.org/10.1093/esr/jcaf037 image.png

Bas Hofstra reposted

📢 New #OpenAccess! Why do some professors appear in the media far more than others? #RH_Heiberger @BasHofstra #S_Unger find both patterns of cumulative advantage & gender inequality, with men more likely to become “short-listed”! ➡️ Read it ungated at: doi.org/10.1093/esr/jcaf037 image.png

doi.orgProfessors in the media: dynamics of cumulative advantage, reputation, and genderAbstract. Translation of science to a general public is increasingly important in modern academia. Yet, there is little knowledge on whether and why scient

Bas Hofstra reposted

Bas Hofstra reposted

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This is a key paper in the growing literature on the effects of COVID-19 on academia. It is done purely with webscraped data, and it is a showcase how you can do fine-grained analyses if you put in the work.

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📖 What did we find? - During COVID-19, scientists published about 33% fewer papers - Dutch science was hit hard: “lost” around 20,000 publications - Scientists with childcare responsibilities struggled to maintain productivity - Researchers with a migration background were also hit harder

Ik werd geinterviewd met een aantal vragen over hoe je duurzame en nuttige netwerken opbouwt als student in een interessant stuk van de trouw @trouw.nl in de introductieweken.

Bas Hofstra reposted

Nothing like having your Social Networks article (as seen at #Sunbelt2024) published while attending #Sunbelt2025!

Bas Hofstra@bashofstra.bsky.social

Thrilled to share my latest publication in the journal Social Networks, together with Beate Völker (lead), @rensec.bsky.social, and Frank van Tubergen. www.sciencedirect.com/science/arti...

Additionally, we find a pretty strong presence for gender and educational homogeneity. These findings have important implications for Dutch social structure as to who is at risk to become socially isolated and as to where social barriers between groups exist.

We find fascinating patterns where average network size across a representative set respondents in the Netherlands is about 518 people. But more importantly, it decreases with age, unemployment, lower income, lower house values, lower education, and fewer people in a household.

In this paper we use computational methods (for insiders, specifically the Network Scale-Up Method) to calculate both network size and its determinants, as well as network homogeneity and its determinants.

After a pretty gruesome train ride, finally arrived in Paris for #sunbelt #sunbelt2025. Can’t wait to hear about all the amazing network studies. Shoot me a message if you want to meet or catch up!

Bas Hofstra reposted

As some of you guessed, the two models are statistically indistinguishable. The answer is Model 1, but there was no way to tell from the data. I was very surprised when I first saw this. Here we show that this confounding of heterogeneity and reinforcement is general: www.pnas.org/doi/10.1073/...

pnas.orgReinforcement generates systematic differences without heterogeneity | PNASInequality in outcomes may emerge through a reinforcement process in which stochastic variation in values is determined by prior values but may als...
Arnout van de Rijt@arnoutvanderijt.bsky.social

Did Model 1 or Model 2 generate these sequences? Why? Model 1: Pólya urn, starting with one black and one red ball. 1 (0) stands for black (red). Model 2: Empty probit model, random intercepts with mean 0, ICC = 1/2. All 100,000 sequences here: tinyurl.com/35pkyfxa

Bas Hofstra reposted