The first #JASSS issue of 2026 has been published!
Dive into new #SocialSimulation studies on #PublicPolicy, #Epidemiology, #SoilDegradation, and #OpinionDynamics.
Read the full #OpenAccess articles in Vol 29(1) here: www.jasss.org/29/1/content...
MIDAO advances #ABM by showing how specific arguments - not just abstract #socialinfluence - drive #opinion formation and #Innovation adoption. A more realistic, theory-driven perspective on #opiniondynamics.
Read the full #OpenAccess article in #jasss: jasss.org/28/4/4.html
For semantic map lovers, update of maps.gargantext.org with few exciting topics : #glyphostate, #acetamiprid, #disinfo campaigns, #Mastodon debates on #ClimateChange, #opinionDynamics literature ... #GarganText
Graph Theory Confirms Stability of Time‑Varying Opinion Dynamics
Defected Temporal Graphs (DTGs) give asymptotic stability to the Friedkin‑Johnsen opinion model; semi‑periodic defected networks achieve exponential stability. getnews.me/graph-theory-confirms-st... #graphtheory #opiniondynamics
Cost‑Aware Opinion Dynamics Boost Resilience in Multi‑Agent Systems
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: getnews.me/cost-aware-opinion-dynam... #opiniondynamics #resilience
Multidimensional Opinion Formation: Tight Bounds on Price of Anarchy
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. getnews.me/multidimensional-opinion... #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
