%0 Conference Paper %1 meiss2008ranking %A Meiss, Mark R. %A Menczer, Filippo %A Fortunato, Santo %A Flammini, Alessandro %A Vespignani, Alessandro %B Proceedings of the 2008 International Conference on Web Search and Data Mining %C New York, NY, USA %D 2008 %I ACM %K ranking sites traffic web %P 65--76 %R 10.1145/1341531.1341543 %T Ranking Web Sites with Real User Traffic %U http://doi.acm.org/10.1145/1341531.1341543 %X We analyze the traffic-weighted Web host graph obtained from a large sample of real Web users over about seven months. A number of interesting structural properties are revealed by this complex dynamic network, some in line with the well-studied boolean link host graph and others pointing to important differences. We find that while search is directly involved in a surprisingly small fraction of user clicks, it leads to a much larger fraction of all sites visited. The temporal traffic patterns display strong regularities, with a large portion of future requests being statistically predictable by past ones. Given the importance of topological measures such as PageRank in modeling user navigation, as well as their role in ranking sites for Web search, we use the traffic data to validate the PageRank random surfing model. The ranking obtained by the actual frequency with which a site is visited by users differs significantly from that approximated by the uniform surfing/teleportation behavior modeled by PageRank, especially for the most important sites. To interpret this finding, we consider each of the fundamental assumptions underlying PageRank and show how each is violated by actual user behavior %@ 978-1-59593-927-2

@inproceedings{meiss2008ranking, abstract = {We analyze the traffic-weighted Web host graph obtained from a large sample of real Web users over about seven months. A number of interesting structural properties are revealed by this complex dynamic network, some in line with the well-studied boolean link host graph and others pointing to important differences. We find that while search is directly involved in a surprisingly small fraction of user clicks, it leads to a much larger fraction of all sites visited. The temporal traffic patterns display strong regularities, with a large portion of future requests being statistically predictable by past ones. Given the importance of topological measures such as PageRank in modeling user navigation, as well as their role in ranking sites for Web search, we use the traffic data to validate the PageRank random surfing model. The ranking obtained by the actual frequency with which a site is visited by users differs significantly from that approximated by the uniform surfing/teleportation behavior modeled by PageRank, especially for the most important sites. To interpret this finding, we consider each of the fundamental assumptions underlying PageRank and show how each is violated by actual user behavior}, acmid = {1341543}, added-at = {2013-11-15T11:24:22.000+0100}, address = {New York, NY, USA}, author = {Meiss, Mark R. and Menczer, Filippo and Fortunato, Santo and Flammini, Alessandro and Vespignani, Alessandro}, biburl = {https://www.bibsonomy.org/bibtex/2e0e9a70796abe0ebc717259573429f13/thoni}, booktitle = {Proceedings of the 2008 International Conference on Web Search and Data Mining}, description = {Ranking web sites with real user traffic}, doi = {10.1145/1341531.1341543}, interhash = {fa73cddce5412036c7aceb46da32b3de}, intrahash = {e0e9a70796abe0ebc717259573429f13}, isbn = {978-1-59593-927-2}, keywords = {ranking sites traffic web}, location = {Palo Alto, California, USA}, numpages = {12}, pages = {65--76}, publisher = {ACM}, series = {WSDM '08}, timestamp = {2016-09-06T08:23:07.000+0200}, title = {Ranking Web Sites with Real User Traffic}, url = {http://doi.acm.org/10.1145/1341531.1341543}, year = 2008 }