2006 TopicEvolutionandSocialInteract

• (Zhou et al., 2006) ⇒ Ding Zhou, Xiang Ji, Hongyuan Zha, and C. Lee Giles. (2006). “Topic Evolution and Social Interactions: How Authors Effect Research.” In: Proceedings of the 15th ACM International Conference on Information and knowledge management. ISBN:1-59593-433-2 doi:10.1145/1183614.1183653

Subject Headings: Topic Evolution Analysis.

Cited By

• http://scholar.google.com/scholar?q=%222006%22+Topic+Evolution+and+Social+Interactions%3A+How+Authors+Effect+Research
• http://dl.acm.org/citation.cfm?id=1183614.1183653&preflayout=flat#citedby

Quotes

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.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2006 TopicEvolutionandSocialInteract	C. Lee Giles Hongyuan Zha Ding Zhou Xiang Ji			Topic Evolution and Social Interactions: How Authors Effect Research				10.1145/1183614.1183653		2006