Ranking in co-effecting multi-object/link types networks

Bo Zhou, Manna Wu, Xin Xia, Chao Wu

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


Research on link based object ranking attracts increasing attention these years, which also brings computer science research and business marketing brand-new concepts, opportunities as well as a great deal of challenges. With prosperity of web pages search engine and widely use of social networks, recent graph-theoretic ranking approaches have achieved remarkable successes although most of them are focus on homogeneous networks studying. Previous study on co-ranking methods tries to divide heterogeneous networks into multiple homogeneous sub-networks and ties between different sub-networks. This paper proposes an efficient topic biased ranking method for bringing order to co-effecting heterogeneous networks among authors, papers and accepted institutions (journals/conferences) within one single random surfer. This new method aims to update ranks for different types of objects (author, paper, journals/conferences) at each random walk.

Original languageEnglish
Title of host publicationProceedings - 2011 23rd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2011
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages4
ISBN (Print)9780769545967
Publication statusPublished - 1 Dec 2011
Externally publishedYes
EventInternational Conference on Tools with Artificial Intelligence 2011 - Boca Raton, United States of America
Duration: 7 Nov 20119 Nov 2011
Conference number: 23rd

Publication series

NameProceedings - International Conference on Tools with Artificial Intelligence, ICTAI
ISSN (Print)1082-3409


ConferenceInternational Conference on Tools with Artificial Intelligence 2011
Abbreviated titleICTAI 2011
Country/TerritoryUnited States of America
CityBoca Raton
Internet address


  • Heterogeneous networks
  • Homogeneous networks
  • Link based object rankink
  • Random walk

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