Condensation phase transitions of symmetric conserved-mass aggregation model on complex networks
Sungchul Kwon, Sungmin Lee, and Yup Kim

TL;DR
This paper studies how symmetric conserved-mass aggregation models undergo phase transitions on complex networks, revealing the influence of network topology on condensation phenomena and identifying conditions for their occurrence.
Contribution
It demonstrates the effects of network structure on condensation transitions in the SCA model, especially highlighting differences between networks with degree exponent $oldsymbol{eta}$ greater than or less than 3.
Findings
Condensation transitions occur on RNs and SFNs with $oldsymbol{eta > 3}$, similar to regular lattices.
No phase transition occurs on SFNs with $oldsymbol{eta extless 3}$; instead, condensation always occurs.
Lamb survival analysis indicates indefinite survival on RNs and SFNs with $oldsymbol{eta > 3}$, but not on SFNs with $oldsymbol{eta extless 3}$.
Abstract
We investigate condensation phase transitions of symmetric conserved-mass aggregation (SCA) model on random networks (RNs) and scale-free networks (SFNs) with degree distribution . In SCA model, masses diffuse with unite rate, and unit mass chips off from mass with rate . The dynamics conserves total mass density . In the steady state, on RNs and SFNs with for , we numerically show that SCA model undergoes the same type condensation transitions as those on regular lattices. However the critical line depends on network structures. On SFNs with , the fluid phase of exponential mass distribution completely disappears and no phase transitions occurs. Instead, the condensation with exponentially decaying background mass distribution always takes place for any non-zero density. For the…
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