We then extend Google's PageRank algorithm to citation networks of scientific literature. Unlike hyperlinks, citations cannot be updated after the point of publication. This results in strong aging characteristics of citation networks that affect the performance of the PageRank algorithm. To rectify this we modify the PageRank algorithm to a new ranking method, CiteRank, in which the starting point of random surfers is exponentially biased towards more recent publications. The ranking results are compared for two rather different citation networks: all American Physical Society publications between 1893 and 2003 and the set of high energy physics theory (hep-th) preprints. Despite major differences between these two networks, we find that their optimal parameters of the CiteRank algorithm are remarkably similar.One apparent example is for the paper aCluster formation in two-dimensional random walks: Application to photolysis of silver halidesa by Rosenstock and Marquardt (RM). Notice that this article has only 3 citations and is ranked No. 184066 byanbsp;...
|Title||:||Statistical Physics of Complex Networks|
|Publisher||:||ProQuest - 2008|