https://www.youtube.com/watch?v=Nm_L9VCBJ_E
#conformism #accuracy #homophily #politics #economics #consensus #evidence


"It's like doing a restaurant review, but only asking the people who didn't get food poisoning."
Barry Ferns contends that some of today's biggest blunders can be attributed to all the well-educated people making all the same mistakes all at the same time.
https://youtube.com/watch?v=S5sK7V0L5tE
#politics #economics #society #government #policy #decisionmaking #homophily #management #evidence #information #culture #identity #behaviour #beliefs #inequality
Fascinating talk by @[email protected] from @CIRESnews. It turns out #homophily isn't the only reason for misperception – the prominence of opposing voices in our social circles plays a major role too.
Missed it live?
Watch the recording: https://bit.ly/LSNI-2024-videos
If you're honest, how much of a role does homophily play in your friendships, preferences, and decisions? https://positionofprivilege.org/the-tyranny-of-homophily-part-1/
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
@[email protected]
@pklampros
& Guillaume Favre
🔗
https://www.tandfonline.com/doi/full/10.1080/14036096.2023.2247404
#Sociology #Sociodon #SocialNetworkAnalysis #urbansociology @sociology
📢 @netscisociety @[email protected] & @IC2S2, here the slides of my talk about the influence of #TriadicClosure on #Homophily & the centrality of #minority nodes: https://bit.ly/PATCH-NetSci2023 #WorkInProgress #NetSci #NetSci2023 #IC2S2
Joint work w. @[email protected] Samuel Martin-Gutierrez @[email protected] & @[email protected]
Interested in "social network modeling" (model selection and inference), & attending @TheWebConf@twitter com 2023? Then joins us (@fariba_k @tiago and I) this Sunday 10am-5pm
#Tutorial #Homophily #TriadicClosure #ScaleFreeNetworks @graph_tool #NetIn #Python
Fragmentation, echo chambers, and their amelioration in social networks have been a growing concern in the academic and non-academic world. This paper shows how, under the assumption of homophily, echo chambers and fragmentation are system-immanent phenomena of highly flexible social networks, even under ideal conditions for heterogeneity. We achieve this by finding an analytical, network-based solution to the Schelling model and by proving that weak ties do not hinder the process. Furthermore, we derive that no level of positive algorithmic bias in the form of rewiring is capable of preventing fragmentation and its effect on reducing the fragmentation speed is negligible.