2015 RSCMiningandModelingTemporalAct

• (Ferraz Costa et al., 2015) ⇒ Alceu Ferraz Costa, Yuto Yamaguchi, Agma Juci Machado Traina, Caetano Traina Jr., and Christos Faloutsos. (2015). “RSC: Mining and Modeling Temporal Activity in Social Media.” In: Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2015). ISBN:978-1-4503-3664-2 doi:10.1145/2783258.2783294

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Cited By

• http://scholar.google.com/scholar?q=%222015%22+RSC%3A+Mining+and+Modeling+Temporal+Activity+in+Social+Media
• http://dl.acm.org/citation.cfm?id=2783258.2783294&preflayout=flat#citedby

Quotes

Author Keywords

• Data mining; generative model; social media; time-series; user behavior

Abstract

Can we identify patterns of temporal activities caused by human communications in social media? Is it possible to model these patterns and tell if a user is a human or a bot based only on the timing of their postings? Social media services allow users to make postings, generating large datasets of human activity time-stamps. In this paper we analyze time-stamp data from social media services and find that the distribution of postings inter-arrival times (IAT) is characterized by four patterns: (i) positive correlation between consecutive IATs, (ii) heavy tails, (iii) periodic spikes and (iv) bimodal distribution. Based on our findings, we propose Rest-Sleep-and-Comment (RSC), a generative model that is able to match all four discovered patterns. We demonstrate the utility of RSC by showing that it can accurately fit real time-stamp data from Reddit and Twitter. We also show that RSC can be used to spot outliers and detect users with non-human behavior, such as bots. We validate RSC using real data consisting of over 35 million postings from Twitter and Reddit. RSC consistently provides a better fit to real data and clearly outperform existing models for human dynamics. RSC was also able to detect bots with a precision higher than 94%.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2015 RSCMiningandModelingTemporalAct	Christos Faloutsos Agma Juci Machado Traina Alceu Ferraz Costa Yuto Yamaguchi Caetano Traina Jr.			RSC: Mining and Modeling Temporal Activity in Social Media				10.1145/2783258.2783294		2015