arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 0803.3671cond-mat.stat-mech
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加权复杂网络上守恒质量凝聚模型的凝聚现象

Condensation phenomena of conserved-mass aggregation model on weighted complex networks

Sungchul Kwon, Sooyeon Yoon, Yup Kim

摘要:

研究了加权无标度网络(WSFNs)上守恒质量凝聚(CA)模型的凝聚相变。在WSFN中,权重$w_{ij}$被分配给节点$i$和$j$之间的链路。我们考虑给定的对称权重为$w_{ij}=(k_i k_j)^α$。在CA模型中,随机选择的节点$i$上的质量$m_i$以$T_{ji}$的速率扩散到$i$的链接邻居$j$,或者以$ωT_{ji}$的速率从节点$i$扩散到$j$。跳频概率$T_{ji}$被给出为$T_{ji}= w_{ji}/\sum_{<l>} w_{li}$,其中该和在节点$i$的链接邻居上运行。在WSFNs上,我们用数值方法证明了存在一个临界$α_c$,低于这个临界$α_c$,CA模型将经历与正则格点上CA模型相同类型的凝聚相变。然而,对于$α\geq α_c$,对于任何密度的$ρ$和$ω$,总是发生冷凝。我们通过分析在WSFN上找到度指数为$γ$的$α_c = (γ-3)/2$。为了获得$α_c$,我们解析地导出在具有度$k$的节点处找到步行者的平稳分布$P^{\infty}_k$的标度行为,以及在具有度$k$的同一节点处同时找到两个步行者的概率$D(k)$。我们分别发现了$P^{\infty}_k \sim k^{α+1-γ}$和$D(k) \sim k^{2(α+1)-γ}$。与$P^{\infty}_k$,我们还表明,分析和数值的平均质量$m(k)$的度$k$的节点规模为$k^{α+1}$没有任何跳跃的最大程度的网络中的任何$ρ$与$α=0$的SFN。

英文摘要:

We investigate the condensation phase transitions of conserved-mass aggregation (CA) model on weighted scale-free networks (WSFNs). In WSFNs, the weight $w_{ij}$ is assigned to the link between the nodes $i$ and $j$. We consider the symmetric weight given as $w_{ij}=(k_i k_j)^α$. In CA model, the mass $m_i$ on the randomly chosen node $i$ diffuses to a linked neighbor of $i$,$j$, with the rate $T_{ji}$ or an unit mass chips off from the node $i$ to $j$ with the rate $ωT_{ji}$. The hopping probability $T_{ji}$ is given as $T_{ji}= w_{ji}/\sum_{<l>} w_{li}$, where the sum runs over the linked neighbors of the node $i$. On the WSFNs, we numerically show that a certain critical $α_c$ exists below which CA model undergoes the same type of the condensation transitions as those of CA model on regular lattices. However for $α\geq α_c$, the condensation always occurs for any density $ρ$ and $ω$. We analytically find $α_c = (γ-3)/2$ on the WSFN with the degree exponent $γ$. To obtain $α_c$, we analytically derive the scaling behavior of the stationary distribution $P^{\infty}_k$ of finding a walker at nodes with degree $k$, and the probability $D(k)$ of finding two walkers simultaneously at the same node with degree $k$. We find $P^{\infty}_k \sim k^{α+1-γ}$ and $D(k) \sim k^{2(α+1)-γ}$ respectively. With $P^{\infty}_k$, we also show analytically and numerically that the average mass $m(k)$ on a node with degree $k$ scales as $k^{α+1}$ without any jumps at the maximal degree of the network for any $ρ$ as in the SFNs with $α=0$.

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