论文标题
回溯对Pagerank的影响
Effects of Backtracking on PageRank
论文作者
论文摘要
在本文中，我们考虑了标准Pagerank的三种变化：非背带Pagerank，$μ$ -PAGERANK和$ \ INFTY $ -PAGERANK，所有这些都通过在算法随机步行中调整回溯的可能性来改变标准公式。我们表明，在常规和两部分双毛图的情况下，标准Pagerank及其变体等效。我们还比较每个中心度度量并研究其聚类能力。
In this paper, we consider three variations on standard PageRank: Non-backtracking PageRank, $μ$-PageRank, and $\infty$-PageRank, all of which alter the standard formula by adjusting the likelihood of backtracking in the algorithm's random walk. We show that in the case of regular and bipartite biregular graphs, standard PageRank and its variants are equivalent. We also compare each centrality measure and investigate their clustering capabilities.
