Nutrient
发表于 2025-3-23 11:14:22
https://doi.org/10.1007/978-3-662-33335-8portion of the graph and is related to techniques used in personalized PageRank computing. To test the scalability and accuracy of our algorithms we experiment with three real-world networks and find that these algorithms run in milliseconds to seconds without any preprocessing.
CIS
发表于 2025-3-23 15:33:24
http://reply.papertrans.cn/16/1532/153188/153188_12.png
indigenous
发表于 2025-3-23 18:32:57
Modeling Traffic on the Web Graph, of individual users with the extreme variance in aggregate traffic measurements. We can thereby identify a few salient features that are necessary and sufficient to interpret Web traffic data. Beyond the descriptive and explanatory power of our model, these results may lead to improvements in Web applications such as search and crawling.
Chameleon
发表于 2025-3-23 22:13:27
Multiplicative Attribute Graph Model of Real-World Networks,resholds for the connectivity and the emergence of the giant connected component, and show that the model gives rise to networks with a constant diameter. We also show that MAG model can produce networks with either log-normal or power-law degree distributions.
死亡
发表于 2025-3-24 03:49:45
Fast Katz and Commuters: Efficient Estimation of Social Relatedness in Large Networks,portion of the graph and is related to techniques used in personalized PageRank computing. To test the scalability and accuracy of our algorithms we experiment with three real-world networks and find that these algorithms run in milliseconds to seconds without any preprocessing.
Eclampsia
发表于 2025-3-24 06:41:20
0302-9743 in Stanford, CA, USA, in December 2010, which was co-located with the 6th International Workshop on Internet and Network Economics (WINE 2010).The 13 revised full papers and the invited paper presented were carefully reviewed and selected from 19 submissions.978-3-642-18008-8978-3-642-18009-5Series
责怪
发表于 2025-3-24 12:23:17
Die Verwendung des Schwefelkohlenstoffs,o examine two interrelated problems – graph sparsification and graph partitioning. We can combine the graph sparsification and the partitioning algorithms using PageRank vectors to derive an improved partitioning algorithm.
Vital-Signs
发表于 2025-3-24 17:22:14
http://reply.papertrans.cn/16/1532/153188/153188_18.png
SOB
发表于 2025-3-24 19:15:17
,Der pädiatrische Patient und der Schwindel,hod increases the spectral gap of the random walk, and hence, accelerates convergence to the stationary distribution. The proposed method resembles PageRank but unlike PageRank preserves time-reversibility. Applying our hybrid RW to the problem of estimating degree distributions of graphs shows promising results.
ALIEN
发表于 2025-3-25 01:12:13
http://reply.papertrans.cn/16/1532/153188/153188_20.png