Dynamic PageRank using Evolving Teleportation

Details Dynamic PageRank using Evolving Teleportation Dynamic PageRank using Evolving Teleportation

2012-03-27

arxiv.org/abs/1203.6098v1

Computer Science

Social and Information Networks

WAW 2012

Scientific paper

The importance of nodes in a network constantly fluctuates based on changes in the network structure as well as changes in external interest. We propose an evolving teleportation adaptation of the PageRank method to capture how changes in external interest influence the importance of a node. This framework seamlessly generalizes PageRank because the importance of a node will converge to the PageRank values if the external influence stops changing. We demonstrate the effectiveness of the evolving teleportation on the Wikipedia graph and the Twitter social network. The external interest is given by the number of hourly visitors to each page and the number of monthly tweets for each user.

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