power-law distribution / power law raises interesting questions / Power-law distributions / web log dataset / retail space / search engine results / log-normal and power-law distributions / blatant advertising / long tail power law scenario / car manufacturer / search result / truncated power-law distribution / web-based retailers / collaborative tagging systems / mainstream media / power law distributions / tiny / web access log / web log sample / collaborative online encyclopedia / classic power law / Internet encyclopaedias / web servers / search engine test metrics / search engines / search engine query / power law / social networks / retail stores / search engine test / web logs / download site / power law fit / search engine / visualization tool / search results / /
Organization
National Science Foundation / GroupLens Research / K. Lam John Riedl GroupLens Research Department of Computer Science / University of Minnesota / /
Person
John Seigenthaler / Sr. / Chris Anderson / Madonna / K. Lam John Riedl / Robert F. Kennedy / / /
Position
editor / football player / co-founder / General / head / author / editor-in-chief / pop singer / administrator / /
Product
Creation Dates / M-16 / data / /
ProvinceOrState
Quebec / Florida / /
PublishedMedium
Condensed Matter / Complex Systems / USA Today / /
Is Wikipedia Growing a Longer Tail? Shyong (Tony) K. Lam John Riedl GroupLens Research