IPath: Forecasting the pathway to impact

Liangyue Li, Hanghang Tong, Jie Tang, Wei Fan

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

6 Scopus citations

Abstract

Forecasting the success of scientific work has been attracting extensive research attention in the recent years. It is often of key importance to foresee the pathway to impact for scholarly entities for (1) tracking research frontier, (2) invoking an early intervention and (3) proactively allocating research resources. Many recent progresses have been seen in modeling the long-term scientific impact for point prediction. However, challenges still remain when it comes to forecasting the impact pathway. In this paper, we propose a novel predictive model to collectively achieve a set of design objectives to address these challenges, including prediction consistency and parameter smoothness. Extensive empirical evaluations on real scholarly data validate the effectiveness of the proposed model.

Original languageEnglish (US)
Title of host publication16th SIAM International Conference on Data Mining 2016, SDM 2016
EditorsSanjay Chawla Venkatasubramanian, Wagner Meira
PublisherSociety for Industrial and Applied Mathematics Publications
Pages468-476
Number of pages9
ISBN (Electronic)9781510828117
StatePublished - Jan 1 2016
Event16th SIAM International Conference on Data Mining 2016, SDM 2016 - Miami, United States
Duration: May 5 2016May 7 2016

Publication series

Name16th SIAM International Conference on Data Mining 2016, SDM 2016

Other

Other16th SIAM International Conference on Data Mining 2016, SDM 2016
CountryUnited States
CityMiami
Period5/5/165/7/16

ASJC Scopus subject areas

  • Computer Science Applications
  • Software

Cite this

Li, L., Tong, H., Tang, J., & Fan, W. (2016). IPath: Forecasting the pathway to impact. In S. C. Venkatasubramanian, & W. Meira (Eds.), 16th SIAM International Conference on Data Mining 2016, SDM 2016 (pp. 468-476). (16th SIAM International Conference on Data Mining 2016, SDM 2016). Society for Industrial and Applied Mathematics Publications.