The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Probability and statistics with reliability, queuing and computer science applications
Probability and statistics with reliability, queuing and computer science applications
Article impact calculated over arbitrary periods: Research Articles
Journal of the American Society for Information Science and Technology
ObjectRank: a system for authority-based search on databases
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
LinkClus: efficient clustering via heterogeneous semantic links
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Objectrank: authority-based keyword search in databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
BibNetMiner: mining bibliographic information networks
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
ArnetMiner: extraction and mining of academic social networks
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Social Network Extraction of Academic Researchers
ICDM '07 Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
A Topic Modeling Approach and Its Integration into the Random Walk Framework for Academic Search
ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
RankClus: integrating clustering with ranking for heterogeneous information network analysis
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Ranking-based clustering of heterogeneous information networks with star network schema
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
iTopicModel: Information Network-Integrated Topic Modeling
ICDM '09 Proceedings of the 2009 Ninth IEEE International Conference on Data Mining
Mining advisor-advisee relationships from research publication networks
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
| Hi-index | 12.05 |
Bibliographic information networks, formed by online bibliographic databases, such as ACM Digital Library and IEEE/IET Electronic Library, contain abundant information about authors, papers, venues (journals/conferences), and have been widely studies in recent years. However, few studies examine the problem of ranking objects in these networks. In this paper, we study this problem and present a novel model, called PAV, for ranking heterogeneous objects, such as authors, papers, and venues. Based on PAV model, we transform the problem of ranking objects into the problem of estimating probability distribution. We propose an efficient algorithm to estimate probability parameters by use of the fact that the PAV model is a regular Markov chain. For evaluating PAV model, we apply it on one real dataset, which was crawled from ACM Digital Library. The experimental results show that the proposed model is effective.