The proposal of LRW is based on the random walk of finite steps [45], which was suitable for large and sparse networks. q is the initial configuration function, the similarity based on the t-step random walk can be defined as sLRWxy(t) = qxπxy(t) + qyπyx(t).sxyLRW(t) = qx...