Parallel-friendly personalized pageranks with operation shuffling
Given a graph G and a source node s, the single-source Personalized PageRank (SSPPR) π(s, v) measures the importance of the node v with respect to the source node s, thus SSPPR is widely adopted in many graph analysis technologies. Specifically, π(s, v) is the probability that a random walk starts...
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Format: | Thesis-Master by Research |
Language: | English |
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Nanyang Technological University
2023
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Online Access: | https://hdl.handle.net/10356/172018 |
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Institution: | Nanyang Technological University |
Language: | English |