Temporal information retrieval has been a topic of great interest in recent years. Its purpose
is to improve the effectiveness of information retrieval methods by exploiting temporal …

Webometrics, the quantitative study of Web-related phenomena, emerged from the
realization that methods originally designed for bibliometric analysis of scientific journal …

Information retrieval (IR) has changed considerably in recent years with the expansion of the
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …

Liu has written a comprehensive text on Web mining, which consists of two parts. The first
part covers the data mining and machine learning foundations, where all the essential …

Why doesn't your home page appear on the first page of search results, even when you
query your own name? How do other web pages always appear at the top? What creates …

In this paper, we consider the evolution of structure within large online social networks. We
present a series of measurements of two such networks, together comprising in excess of …

The rapid growth of the Web in the past two decades has made it the largest publicly
accessible data source in the world. Web mining aims to discover useful information or …

This paper serves as a companion or extension to the" Inside PageRank" paper by Bianchini
et al.[Bianchini et al. 03]. It is a comprehensive survey of all issues associated with …

We present a detailed study of network evolution by analyzing four large online social
networks with full temporal information about node and edge arrivals. For the first time at …

This is a survey of the science and practice of web crawling. While at first glance web
crawling may appear to be merely an application of breadth-first-search, the truth is that …