Towards an effective and unbiased ranking of scientific literature through mutual reinforcement

Xiaorui Jiang, Xiaoping Sun, Hai Zhuge

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

24 Citations (Scopus)

Abstract

It is important to help researchers find valuable scientific papers from a large literature collection containing information of authors, papers and venues. Graph-based algorithms have been proposed to rank papers based on networks formed by citation and co-author relationships. This paper proposes a new graph-based ranking framework MutualRank that integrates mutual reinforcement relationships among networks of papers, researchers and venues to achieve a more synthetic, accurate and fair ranking result than previous graph-based methods. MutualRank leverages the network structure information among papers, authors, and their venues available from a literature collection dataset and sets up a unified mutual reinforcement model that involves both intra- and inter-network information for ranking papers, authors and venues simultaneously. To evaluate, we collect a set of recommended papers from websites of graduate-level computational linguistics courses of 15 top universities as the benchmark and apply different methods to estimate paper importance. The results show that MutualRank greatly outperforms the competitors including Pag-eRank, HITS and CoRank in ranking papers as well as researchers. The experimental results also demonstrate that venues ranked by MutualRank are reasonable.
Original languageEnglish
Title of host publicationProceedings of the 21st ACM international conference on Information and knowledge management
Place of Publication978-1-4503-1156-4
PublisherACM Press
Pages714-723
Number of pages10
DOIs
Publication statusPublished - Oct 2012
Externally publishedYes
Event21st ACM International Conference on Information and Knowledge Management - Maui, United States
Duration: 29 Oct 20122 Nov 2012
Conference number: 21

Conference

Conference21st ACM International Conference on Information and Knowledge Management
Abbreviated title CIKM 2012
CountryUnited States
CityMaui
Period29/10/122/11/12

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