What's new on the web?: the evolution of the web from a search engine perspective
By Alexandros Ntoulas, Junghoo Cho, Christopher Olston. The Web Conference, 2004
539 citations recorded by the source corpus.
Subfields: Information Systems, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/d39e0751e4260b4620056207d7f60bbd38b33567
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
- Jure Leskovec
- Paolo Ferragina
- Andrew Tomkins
- Lars Backstrom
- Ravi Kumar
- Carlos Castillo
- Andreas F. Terzis
- Fabian Monrose
In Statistical and Nonlinear Physics
- Jure Leskovec
- Lars Backstrom
- Carlos Castillo
- Ravi Kumar
- Andrew Tomkins
- Jon M. Kleinberg
- Huan Liu
- Paolo Ferragina
Citations in the corpus
- A multifaceted approach to understanding the botnet phenomenon (2006, methodology): “6 million DNS servers, denoted D, was obtained by collecting the NS records of the DNS domains extracted from a large list of crawled URLs [17].”
- A personalized search engine based on Web‐snippet hierarchical clustering (2005, background): “This is known to be a very difficult task for many reasons: relevance is a subjective and time-varying concept; the Web is heterogeneous, highly dynamic [1] and it is growing at a staggering rate [2,3]; users have different expectations and goals—informative, navigational or transactional [4]— and t”
- Adversarial Web Search (2011, background): “[181], the rate of change of links on the Web is very fast, even faster than the rate of change of contents.”
- Website fingerprinting: attacking popular privacy enhancing technologies with the multinomial naïve-bayes classifier (2009, unknown): “for example [32, 18, 19, 27]).”
- Microscopic evolution of social networks (2008, background): “Similarly, macroscopic properties of network evolution, like densification and shrinking diameters, were examined [16, 11, 19, 13].”