Diffusion of scientific credits and the ranking of scientists Export

@article{citeulike:5084818, abstract = {Recently, the abundance of digital data enabled the implementation of graph based ranking algorithms that provide system level analysis for ranking publications and authors. Here we take advantage of the entire Physical Review publication archive (1893-2006) to construct authors' networks where weighted edges, as measured from opportunely normalized citation counts, define a proxy for the mechanism of scientific credit transfer. On this network we define a ranking method based on a diffusion algorithm that mimics the spreading of scientific credits on the network. We compare the results obtained with our algorithm with those obtained by local measures such as the citation count and provide a statistical analysis of the assignment of major career awards in the area of Physics. A web site where the algorithm is made available to perform customized rank analysis can be found at the address <a href="http://www.physauthorsrank.org">this http URL</a>}, archivePrefix = {arXiv}, author = {Radicchi, Filippo and Fortunato, Santo and Markines, Benjamin and Vespignani, Alessandro}, citeulike-article-id = {5084818}, citeulike-linkout-0 = {http://arxiv.org/abs/0907.1050}, citeulike-linkout-1 = {http://arxiv.org/pdf/0907.1050}, citeulike-linkout-2 = {http://dx.doi.org/10.1103/PhysRevE.80.056103}, day = {23}, doi = {10.1103/PhysRevE.80.056103}, eprint = {0907.1050}, keywords = {citation, citations, diffusion, dynamics, fortunato, networkdynamics, physics}, month = {Sep}, posted-at = {2009-10-20 22:06:49}, priority = {2}, title = {Diffusion of scientific credits and the ranking of scientists}, url = {http://dx.doi.org/10.1103/PhysRevE.80.056103}, year = {2009} }

TY - JOUR ID - citeulike:5084818 L3 - citeulike-article-id:5084818 N2 - Recently, the abundance of digital data enabled the implementation of graph based ranking algorithms that provide system level analysis for ranking publications and authors. Here we take advantage of the entire Physical Review publication archive (1893-2006) to construct authors' networks where weighted edges, as measured from opportunely normalized citation counts, define a proxy for the mechanism of scientific credit transfer. On this network we define a ranking method based on a diffusion algorithm that mimics the spreading of scientific credits on the network. We compare the results obtained with our algorithm with those obtained by local measures such as the citation count and provide a statistical analysis of the assignment of major career awards in the area of Physics. A web site where the algorithm is made available to perform customized rank analysis can be found at the address <a href="http://www.physauthorsrank.org">this http URL</a> TI - Diffusion of scientific credits and the ranking of scientists KW - citation KW - citations KW - diffusion KW - dynamics KW - fortunato KW - networkdynamics KW - physics AU - Radicchi, Filippo AU - Fortunato, Santo AU - Markines, Benjamin AU - Vespignani, Alessandro PY - 2009/Sep/23/ UR - http://dx.doi.org/10.1103/PhysRevE.80.056103 ER -