2013 DiscoveringLatentInfluenceinOnl

• (Iwata et al., 2013) ⇒ Tomoharu Iwata, Amar Shah, and Zoubin Ghahramani. (2013). “Discovering Latent Influence in Online Social Activities via Shared Cascade Poisson Processes.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487624

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Cited By

• http://scholar.google.com/scholar?q=%222013%22+Discovering+Latent+Influence+in+Online+Social+Activities+via+Shared+Cascade+Poisson+Processes
• http://dl.acm.org/citation.cfm?id=2487575.2487624&preflayout=flat#citedby

Quotes

Author Keywords

• Bayesian inference; data mining; latent variable models; learning; poisson processes; social community

Abstract

Many people share their activities with others through online communities. These shared activities have an impact on other users' activities. For example, users are likely to become interested in items that are adopted (e.g. liked, bought and shared) by their friends. In this paper, we propose a probabilistic model for discovering latent influence from sequences of item adoption events. An inhomogeneous Poisson process is used for modeling a sequence, in which adoption by a user triggers the subsequent adoption of the same item by other users. For modeling adoption of multiple items, we employ multiple inhomogeneous Poisson processes, which share parameters, such as influence for each user and relations between users. The proposed model can be used for finding influential users, discovering relations between users and predicting item popularity in the future. We present an efficient Bayesian inference procedure of the proposed model based on the stochastic EM algorithm. The effectiveness of the proposed model is demonstrated by using real data sets in a social bookmark sharing service.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2013 DiscoveringLatentInfluenceinOnl	Zoubin Ghahramani Tomoharu Iwata Amar Shah			Discovering Latent Influence in Online Social Activities via Shared Cascade Poisson Processes				10.1145/2487575.2487624		2013