Link analysis ranking: algorithms, theory, and experiments
By Allan Borodin, Gareth O. Roberts, Jeffrey S. Rosenthal, Panayiotis Tsaparas. TOIT, 2005
357 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistical and Nonlinear Physics, Signal Processing
View Paper: https://www.semanticscholar.org/paper/1a3c39eb219a6e2e5e252db8a5663c886aa32417
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Philip S. Yu
- Jiawei Han
- Paolo Boldi
- Sebastiano Vigna
- Xiaoxin Yin
- Charu C. Aggarwal
- Ashish Goel
- Abdur Chowdhury
In Statistical and Nonlinear Physics
- Philip S. Yu
- Jiawei Han
- Ashish Goel
- Bahman Bahmani
- Abdur Chowdhury
- Jun Zhang
- Paolo Boldi
- Sebastiano Vigna
In Signal Processing
- Jiawei Han
- Philip S. Yu
- Paolo Boldi
- Sebastiano Vigna
- Ashish Goel
- Abdur Chowdhury
- Jun Zhang
- Lada A. Adamic
Citations in the corpus
- Axioms for Centrality (2013, methodology): “The reader can easily work out similar definitions for HITS and SALSA, which depend on a suitable definition of alternate “back-and-forth path” (see, e.g., [18])”
- Truth Discovery with Multiple Conflicting Information Providers on the Web (2007, background): “In [3], the authors propose a framework of link analysis and provide theoretical studies for many link-based approaches.”
- Fast Incremental and Personalized PageRank (2010, background): “Moreover, it should be mentioned that there is also axiomatic support for this outcome [2,6].”
- Expertise networks in online communities: structure and algorithms (2007, methodology): “There are various versions of PageRank or similar measures; for an overview, see [4, 6 ]. We propose using a PageRank-like algorithm to generate a measure that not only considers how many other people one WWW 2007 / Track: E*-Applications Session: E-Communities”