CiteSeer: an automatic citation indexing system
Proceedings of the third ACM conference on Digital libraries
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Object-level ranking: bringing order to Web objects
WWW '05 Proceedings of the 14th international conference on World Wide Web
Higher-Order Web Link Analysis Using Multilinear Algebra
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Optimizing web search using social annotations
Proceedings of the 16th international conference on World Wide Web
The eigenrumor algorithm for calculating contributions in cyberspace communities
Trusting Agents for Trusting Electronic Societies
A time-aware citation-based model for evaluating scientific products: extended abstract
Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
Hi-index | 7.29 |
An integrated model for ranking scientific publications together with authors and journals recently presented in [Bini, Del Corso, Romani, ETNA 2008] is closely analyzed. The model, which relies on certain adjacency matrices H,K and F obtained from the relations of citation, authorship and publication, provides the ranking by means of the Perron vector of a stochastic matrix obtained by combining H,K and F. Some perturbation theorems concerning the Perron vector previously introduced by the authors are extended to more general cases and a counterexample to a property previously addressed by the authors is presented. The theoretical results confirm the consistency and effectiveness of our model. Some paradigmatic examples are reported together with some results obtained on a real set of data.