title: Distinct scalings for mean first-passage time of random walks on scale-free networks with the same degree sequence.
abstract: In general, the power-law degree distribution has profound influence on various dynamical processes defined on scale-free networks. In this paper, we will show that power-law degree distribution alone does not suffice to characterize the behavior of trapping problems on scale-free networks, which is an integral major theme of interest for random walks in the presence of an immobile perfect absorber. In order to achieve this goal, we study random walks on a family of one-parameter (denoted by q) scale-free networks with identical degree sequence for the full range of parameter q, in which a trap is located at a fixed site. We obtain analytically or numerically the mean first-passage time (MFPT) for the trapping issue. In the limit of large network order (number of nodes), for the whole class of networks, the MFPT increases asymptotically as a power-law function of network order with the exponent obviously different for different parameter q, which suggests that power-law degree distribution itself is not sufficient to characterize the scaling behavior of MFPT for random walks at least trapping problem, performed on scale-free networks.
authors.affiliation: School of Computer Science, Fudan University, Shanghai 200433, China. zhangzz@fudan.edu.cn
authors.forename: Zhongzhi
authors.initials: Z
authors.lastname: Zhang
authors.forename: Wenlei
authors.initials: W
authors.lastname: Xie
authors.forename: Shuigeng
authors.initials: S
authors.lastname: Zhou
authors.forename: Mo
authors.initials: M
authors.lastname: Li
authors.forename: Jihong
authors.initials: J
authors.lastname: Guan
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D015233:Models, Statistical; D013269:Stochastic Processes