English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Modeling Evolution of Ideas in the Web of Science

MPS-Authors
/persons/resource/persons44319

Dietz,  Laura
Databases and Information Systems, MPI for Informatics, Max Planck Society;

/persons/resource/persons44132

Bickel,  S.
Machine Learning, MPI for Informatics, Max Planck Society;

External Ressource
No external resources are shared
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Dietz, L., & Bickel, S. (2007). Modeling Evolution of Ideas in the Web of Science. In Proceedings of NIPS'07 Workshop on Statistical Models of Networks (pp. 1-2). Whistler, Canada: ANY PUBLISHER. Retrieved from http://www.cs.ubc.ca/~murphyk/nips07NetworkWorkshop/.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0024-BE96-C
Abstract
When reading on a new topic researchers need to get a quick overview about a research area. Especially when reading a publication in an unfamiliar area, the reader is interested in how this publication is embedded in the web of science. The goal is to give the reader an overview of the evolution of ideas leading to the examined publication. We want to analyze this evolution by inferring and visualizing the strength of topical similarity between linked publications in the neighborhood of the initially examined work.