Research-insight: Providing insight on research by publication network analysis

Fangbo Tao, Xiao Yu, Kin Hou Lei, George Brova, Xiao Cheng, Jiawei Han, Rucha Kanade, Yizhou Sun, Chi Wang, Lidan Wang, Tim Weninger

Research output: Chapter in Book/Report/Conference proceedingConference contribution


A database contains rich, inter-related, multi-typed data and information, forming one or a set of gigantic, interconnected, heterogeneous information networks. Much knowledge can be derived from such information networks if we systematically develop an effective and scalable database-oriented information network analysis technology. In this system demo, we take a computer science research publication network as an example, which is an information network derived from an integration of DBLP, other web-based information about researchers, and partially available citation data, and construct a Research-Insight system in order to demonstrate the power of database-oriented information network analysis. We show that nontrivial research insight can be obtained from such analysis, including (1) ranking, clustering, classification and similarity search of researchers, terms and venues for research subfields and themes, (2) re Commending good researchers and good research papers to read or cite when conducting research on certain topics, (3) predicting potential collaborators for certain theme-oriented research, and (4) predicting advisor-advisee relationships and affiliation history based on historical research publications. Although some of these functions have been studied in recent research, effective and scalable realization of such functions in large networks still poses challenging research problems. Moreover, some function are our ongoing research tasks. By integrating these functionalities, Research-Insight may not only provide with us insightful re Commendations in CS research but also help us gain insight on how to perform effective data mining in large databases.

Original languageEnglish (US)
Title of host publicationSIGMOD 2013 - International Conference on Management of Data
Number of pages4
StatePublished - 2013
Event2013 ACM SIGMOD Conference on Management of Data, SIGMOD 2013 - New York, NY, United States
Duration: Jun 22 2013Jun 27 2013

Publication series

NameProceedings of the ACM SIGMOD International Conference on Management of Data
ISSN (Print)0730-8078


Other2013 ACM SIGMOD Conference on Management of Data, SIGMOD 2013
Country/TerritoryUnited States
CityNew York, NY


  • Heterogeneous information network
  • Re Commendation system

ASJC Scopus subject areas

  • Software
  • Information Systems


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