Google's PageRank method was developed to evaluate the importance of web-pages via
their link structure. The mathematics of PageRank, however, are entirely general and apply …

The notion of blacklisting communication sources has been a well-established defensive
measure since the origins of the Internet community. In particular, the practice of compiling …

PageRank computes the importance of each node in a directed graph under a random
surfer model governed by a teleportation parameter. Commonly denoted alpha, this …

This thesis addresses the task of automatically generating reading lists for novices in a
scientific field. Reading lists help novices to get up to speed in a new field by providing an …

A new link-based document ranking framework is devised with at its heart, a contents and
time sensitive random literature explorer designed to more accurately model the behaviour …

Recently, a class of algorithms combining classical fixed point iterations with repeated
random sparsification of approximate solution vectors has been successfully applied to …

We study a problem of quick detection of top-k Personalized PageRank lists. This problem
has a number of important applications such as finding local cuts in large graphs, estimation …

As the largest encyclopedia in history, Wikipedia represents an unprecedented unification of
the world's knowledge. Its internal links are an invaluable resource for understanding the …

Recently, many researchers have conducted scientific studies with, about, or using the
online encyclopaedia known as Wikipedia. While they have obtained promising results and …

Textual data forms a popular form of communication; however, textual data is complex in
nature as it is produced by humans. Given the huge amount of textual data currently …