More than two decades ago user AaronSW committed the first citation of a research paper to Reddit (that we have been able to find.)
www.reddit.com/r/reddit.com...
More than two decades ago user AaronSW committed the first citation of a research paper to Reddit (that we have been able to find.)
www.reddit.com/r/reddit.com...
Block-corrected modularity for community detection link.aps.org/doi/10.1103/...
Ladies and gentlemen, let me to present the Computational Human Dynamics Lab, DNDS-CEU, Vienna #netsci2025
A delightfully nerdy photo of @arash.network receiving a small karate club trophy from @nwlandry.bsky.social
An "action shot" of @arash.network during his award winning talk, with a TV in the background showing the famous karate club network
Hurray! π @arash.network (left) is the 24th recipient of the Zachary's Karate Club CLUB prize. For his talk @netsciconf.bsky.social NetSci 2025, he was entrusted with the illustrious trophy π from @nwlandry.bsky.social #networkscience networkkarate.tumblr.com
They also systematically disadvantages non-native speakers and anyone with social anxiety.
When you have network data with node metadata, how can you use them to improve community detection? One way is to make the communities align with the metadata. In our new preprint, we propose another way: to discount the effects of the metadata from the detected communities. arxiv.org/abs/2502.20083
Our study demonstrates the dangers of entrenched affective polarisation on how the public engages with science. In a world of overlapping crises, science communication needs strategies to address cross-domain polarisation. Check out the full paper for details: arxiv.org/abs/2502.05255
Quarterly difference in toxicity between tweets containing references to international organizations and those that do not, compared to the baseline quarter (2019 Q4). The lighter confidence intervals are computed from standard errors clustered at the Twitter account level.
We also show that pre-existing political cleavagesβanti-internationalist populist sentimentsβprovide a pathway for this spillover, helping link climate skepticism to COVID-19 vaccine hesitancy. This overlap further entrenches anti-science sentiment across different policy domains.
These findings highlight a "cross-domain spillover": political flashpoints in one science-related issue (e.g., vaccine hesitancy) can fuel hostility in another (e.g., climate policy). In other words, polarised behaviours are not confined to a single topicβthey can spread.
Presence of COVID-19 content and incivility of climate posts. Panel A shows coefficient estimates from linear probability model of toxicity in climate posts across three social media systems. Panel B shows coefficient estimates from Cox proportional hazards models of toxicity onset in climate conversations on Twitter. Panel C shows temporal trends in daily climate tweet toxicity by difference in content. Panel Cβs inset shows the temporal trends for climate science tweets and Reddit comments
By analysing millions of climate change and climate science posts, we found that mentions of COVID-19 or Anthony Fauci derailed climate conversation into incivility and contentiousness. These patterns strengthened during major pandemic events.
Excited to share our new preprint: "Incivility and Contentiousness Spillover between COVID-19 and Climate Science Engagement." We examine how affective polarisation surrounding COVID spilled over into climate change discussions on Twitter and Reddit in 2019-2021. @tedhchen.com @hastinz.bsky.social
We're organizing a NetSci'25 satellite workshop on Directed Acyclic Graphs β if you're working on, e.g., citation graphs, pedigrees, causality, temporal-network event graphs, network representations of spacetime, or any other areas where DAGs play a role, please contribute! www.dagshop.xyz
π’ NetSci 2025 Speaker announcement:
Jari SaramΓ€ki, Full Professor at the Department of Computer Science, Aalto University
"Networks in Time and Space"
#NetSci2025 @jsaramak.bsky.social