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These attributes are used to measure film\u2010film distances by creating a distance matrix: two films are considered to be adjacent if there is any overlap in the people associated with each film. The distance between any two films is measured by the shortest path used to connect them through their adjacent members. The second and third methods involve the creation of a similarity matrix that expresses the amount of overlap in the people associated with any two films using Dice's coefficient. A \u201cproduct distance\u201d matrix is then derived that express the distances between any two films based on the product of the similarity weights on a path that connects those films. The highest value is chosen when alternate paths connect the two films. We also describe an \u201caccumulative difference distance\u201d matrix that also expresses the distances among pairs of films. The distance, product distance and accumulative difference distance matrices are used to generate rankings for a random sample of films.<\/jats:p>","DOI":"10.1002\/meet.1450400103","type":"journal-article","created":{"date-parts":[[2005,1,31]],"date-time":"2005-01-31T11:19:46Z","timestamp":1107170386000},"page":"21-27","source":"Crossref","is-referenced-by-count":1,"title":["Three social distance measures for film rankings"],"prefix":"10.1002","volume":"40","author":[{"given":"Gregory H.","family":"Leazer","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jonathan","family":"Furner","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rachel","family":"Napper","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2005,1,31]]},"reference":[{"key":"e_1_2_8_2_1","unstructured":"AFI(2003). 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