#socialnetworkanalysis — Public Fediverse posts

Proud of Denisa Arsene for presenting us and our work at the Complex Networks conference last week. She had a lot of engagement during her presentation, and made a ton of cool new science friends from all over the world 🤓 🌟

Key contribution: SANA (simulated annealing for network anonymisation), an algorithm that makes small alterations to social networks to protect the people in the network from de-anonymization attacks.

Motivation: Facilitating data sharing between social scientists while preserving the privacy of the people who were part of those studies.

More info, including preprint and poster (with ALT): https://latower.github.io/posts/2025/11/sana/

#Science #Research #ComputerScience #AI #StudentLife #Networking #SciComm #SocialNetworkAnalysis #Algorithmics #SimulatedAnnealing #AcademicMastodon #AcademicChatter #CombinatorialOptimisation #CombinatorialOptimization

🌍 “What makes #nextGEMS unique is its inclusivity.”

For Dragana Bojovic (BSC), that means more than diversity—it’s about building a space where climate scientists, social scientists, communication experts, early-career researchers, and professors work side-by-side to create knowledge with society, not just for it.

In our new video, “Thriving on collaboration, openness, and the co-creation of knowledge for a better future”, Dragana shares how nextGEMS fostered inclusivity through:

⬛ #Hackathons – from hands-on climate data exploration to society-oriented workshops on themes like the energy transition
⬛ #SocialNetworkAnalysis – studying how collaborations form and evolve during these events
⬛ #Storyline co-creation – bringing ministries, renewable energy reps, and scientists together to design climate-resilient futures
⬛ #ScienceExplainers & #PolicyBriefs – translating research into action
 
The result? A vibrant, interdisciplinary community that Dragana hopes will thrive well beyond the project’s lifetime.
 
▶️ Watch the full video in our Media Library under Project outcomes.
 
#KnowledgeCoCreation #H2020 #Collaboration #Science4Policy #CommunityBuilding
 
@cinea_EU

Some social network analysis on Metroidvanias.

Data from https://www.reddit.com/r/metroidvania/comments/1dwqjp0/if_you_had_to_pick_5_of_the_best_metroidvanias/, two games are connected (with a weighted edge) when they appear in the same answer.

We arrange the games on the tiles, aiming to minimize the sum of (distance) * (weight). Hyperbolic geometry tends to be be good for this kind of visualization (closeness correlates to edge weight).

Tehora Rogue has run a community detection algorithm (using Gephi) on this network multiple times. This algorithm would find 4 to 6 communities in different runs, the 4 communities shown are based on aggregation of the results.
(There are "green" and "yellow" communities of sets of five games posted by "trolls" who have posted games not mentioned by anyone else, and the main genre splits into "blue" and "red" -- if you know these games, do you have any idea what the blue/red split could mean?

In the second picture, the red / blue / green components (excluding trolls) are determined by how often the game appeared in the same community as Iconoclasts / Cookie Cutter / Castlevania: Harmony of Despair. These three games were chosen because they frequently belonged to different communities.

#metroidvania #mathart #socialnetworkanalysis #gamedesign #rogueviz #NonEuclideanGeometry #NonEuclidean #tessellation

How does similarity and spatial proximity shape neighbour relations within residential buildings?

➡️ #Homophily & spatial proximity predict #WeakTies. More distant building residents may be #FamiliarStrangers or complete #strangers

Our new paper is out and #OpenAccess!
Co-authored with the fabulous
@marinatulin
@pklampros
& Guillaume Favre

🔗
https://www.tandfonline.com/doi/full/10.1080/14036096.2023.2247404

#Sociology #Sociodon #SocialNetworkAnalysis #urbansociology @sociology