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- The CheiRank is an eigenvector with a maximal real eigenvalue of the Google matrix constructed for a directed network with the inverted directions of links. It is similar to the PageRank vector, which ranks the network nodes in average proportionally to a number of incoming links being the maximal eigenvector of the Google matrix with a given initial direction of links. Due to inversion of link directions the CheiRank ranks the network nodes in average proportionally to a number of outgoing links. Since each node belongs both to CheiRank and PageRank vectors the ranking of information flow on a directed network becomes two-dimensional. (en)
- 체이랭크(CheiRank)는 구글 행렬의 실수 고윳값 중 가장 큰 것에 대응되는 고유벡터이다. 러시아계 프랑스 물리학자 알렉세이 체펠리안스키(Alexei D. Chepelianskii)의 이름을 따서 명명되었다. 알렉세이는 물리학에서의 업적으로 2018년 (Grand prix Jacques-Herbrand)을 수상했다. (ko)
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- 13063 (xsd:nonNegativeInteger)
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- The CheiRank is an eigenvector with a maximal real eigenvalue of the Google matrix constructed for a directed network with the inverted directions of links. It is similar to the PageRank vector, which ranks the network nodes in average proportionally to a number of incoming links being the maximal eigenvector of the Google matrix with a given initial direction of links. Due to inversion of link directions the CheiRank ranks the network nodes in average proportionally to a number of outgoing links. Since each node belongs both to CheiRank and PageRank vectors the ranking of information flow on a directed network becomes two-dimensional. (en)
- 체이랭크(CheiRank)는 구글 행렬의 실수 고윳값 중 가장 큰 것에 대응되는 고유벡터이다. 러시아계 프랑스 물리학자 알렉세이 체펠리안스키(Alexei D. Chepelianskii)의 이름을 따서 명명되었다. 알렉세이는 물리학에서의 업적으로 2018년 (Grand prix Jacques-Herbrand)을 수상했다. (ko)
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