Topic evolution and social interactions: How authors effect research

Ding Zhou, Xiang Ji, Hongyuan Zha, C. Lee Giles

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

60 Scopus citations

Abstract

We propose a method for discovering the dependency relationships between the topics of documents shared in social networks using the latent social interactions, attempting to answer the question: given a seemingly new topic, from where does this topic evolve? In particular, we seek to discover the pair-wise probabilistic dependency in topics of documents which associate social actors from a latent social network, where these documents are being shared. By viewing the evolution of topics as a Markov chain, we estimate a Markov transition matrix of topics by leveraging social interactions and topic semantics. Metastable states in a Markov chain are applied to the clustering of topics. Applied to the CiteSeer dataset, a collection of documents in academia, we show the trends of research topics, how research topics are related and which are stable. We also show how certain social actors, authors, impact these topics and propose new ways for evaluating author impact.

Original languageEnglish (US)
Title of host publicationProceedings of the 15th ACM Conference on Information and Knowledge Management, CIKM 2006
Pages248-257
Number of pages10
DOIs
StatePublished - Dec 1 2006
Event15th ACM Conference on Information and Knowledge Management, CIKM 2006 - Arlington, VA, United States
Duration: Nov 6 2006Nov 11 2006

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Other

Other15th ACM Conference on Information and Knowledge Management, CIKM 2006
CountryUnited States
CityArlington, VA
Period11/6/0611/11/06

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All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Business, Management and Accounting(all)

Cite this

Zhou, D., Ji, X., Zha, H., & Giles, C. L. (2006). Topic evolution and social interactions: How authors effect research. In Proceedings of the 15th ACM Conference on Information and Knowledge Management, CIKM 2006 (pp. 248-257). (International Conference on Information and Knowledge Management, Proceedings). https://doi.org/10.1145/1183614.1183653