Defected Temporal Graphs (DTGs) give asymptotic stability to the Friedkin‑Johnsen opinion model; semi‑periodic defected networks achieve exponential stability. https://getnews.me/graph-theory-confirms-stability-of-time-varying-opinion-dynamics/ #graphtheory #opiniondynamics

A cost‑aware opinion‑dynamics method cuts message traffic while keeping agents converging despite malicious robots, adapting its evolution rate for safety and efficiency. Read more: https://getnews.me/cost-aware-opinion-dynamics-boost-resilience-in-multi-agent-systems/ #opiniondynamics #resilience

Researchers proved tight bounds on the price of anarchy for multidimensional opinion‑formation models, matching the scalar case with non‑quadratic penalties. Presented at EC'25. https://getnews.me/multidimensional-opinion-formation-tight-bounds-on-price-of-anarchy/ #opiniondynamics #priceofanarchy

Proved 3 open conjectures by Hegselmann on ε-switches in the HK model ⚡:
1️⃣ Finitely many switches
2️⃣ Consistent dynamics between them
3️⃣ Invariant under affine transforms
Check out the full preprint:
arxiv.org/abs/2408.13535

#opiniondynamics #HKmodel #math #research #graphs #networks

🚨 New preprint! 🚨
My first foray into opinion dynamics is out:
“Nonmonotonic consensus transitions in bounded-confidence dynamics on unbiased networks”
📄 arxiv.org/abs/2507.14276
More links ≠ more consensus—sometimes the opposite!
#OpinionDynamics #arXiv #ComplexSystems

Can #polarization emerge without echo chambers or repulsion? This #OpinionDynamics #ABM grounded in #Psychology shows how the need for certainty drives ideological alignment—and division—across social and economic issues.

Read #OpenAccess on #jasss: www.jasss.org/28/3/1.html

What can a group of three tell us about #opiniondynamics? This study tracks how open and closed #triads evolve in a #abm #BoundedConfidence #model—revealing how consensus (or not) emerges in #socialnetworks.

Read #OpenAccess on #jasss: www.jasss.org/28/2/6.html

Thanks to my co-authors @ymoreno.bsky.social and @kleber-ao.com!

#OpinionDynamics #SocialNetworks #Python #Polarization #EchoChambers

How do #opiniondynamics shift in social networks? Using field data and #SAOM, this study shows that negative #socialinfluence, not bounded confidence, drives opinion changes—without strong #polarization. Time to revise our assumptions?

Read #OpenAccess on #JASSS: www.jasss.org/28/1/2.html

Alan Elliot from @opiniondynamics on using anthropology to understand energy use behaviour #becc2013: inc Wilhite's distributed agency