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Compact Encoding of the Web Graph Exploiting Various Power Laws Statistical Reason Behind Link Database

机译:Compace编码Web图形利用链路数据库后面的各种电力法律统计原因

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Compact encodings of the web graph are required in order to keep the graph on main memory and to perform operations on the graph efficiently. Link2, the second version of the Link Database by Randall et al., which is part of the Connectivity Server, represented the adjacency list of each vertex by the variable-length nybble codes of delta values. In this paper, the fact is shown that certain variables related to the web graph have power distributions, and the reason is explained why using variable-length nybble codes in Link2 led to a compact representation of the graph from the statistical viewpoint on the basis of the relationship between power distributions and generalization of the variable-length nybble code. Besides, another encoding of the web graph based on these fact and relationship is proposed, and it is compared with Link2 and the encoding proposed by Guillaume et al. in 2002. Though our encoding is slower than Link2, it is 10% more compact than Link2. And our encoding is 20% more compact than the encoding proposed by Guillaume et al. and is comparable to it in terms of extraction time.
机译:为了将图形保持在主存储器上并有效地在图上执行操作,需要紧凑的网格编码。 LINK2,RANDALL等人的链接数据库的第二个版本,它是连接服务器的一部分,表示通过DELTA值的可变长度NYBBLE代码表示每个顶点的邻接列表。在本文中,示出了与Web图相关的某些变量具有权力分布,并且解释了原因为什么使用Link2中的可变长度码代码导致图表的紧凑型表示从统计视点的基础上功率分布与可变长度尼布布尔代码的泛化的关系。此外,提出了基于这些事实和关系的Web图的另一个编码,并将其与Link2和Guillaume等人提出的编码进行比较。在2002年。虽然我们的编码比Link2慢,但它比Link2更紧凑10%。我们的编码比Guillaume等人提出的编码更紧凑。并且在提取时间方面与其相当。

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