2011 TopicLevelSocialNetworkSearch

• (Tang et al., 2011) ⇒ Jie Tang, Sen Wu, Bo Gao, and Yang Wan. (2011). “Topic-level Social Network Search.” In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2011). doi:10.1145/2020408.2020532

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Cited By

• http://scholar.google.com/scholar?q=%22Topic-level+social+network+search%22+2011
• http://portal.acm.org/citation.cfm?doid=2020408.2020532&preflayout=flat#citedby

Quotes

Abstract

We study the problem of topic-level social network search, which aims to find who are the most influential users in a network on a specific topic and how the influential users connect with each other. We employ a topic model to find topical aspects of each user and a retrieval method to identify influential users by combining the language model and the topic model. An influence maximization algorithm is then presented to find the sub network that closely connects the influential users. Two demonstration systems have been developed and are online available. Empirical analysis based on the user's viewing time and the number of clicks validates the proposed methodologies.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2011 TopicLevelSocialNetworkSearch	Jie Tang Sen Wu Bo Gao Yang Wan			Topic-level Social Network Search				10.1145/2020408.2020532