2015 InfluenceatScaleDistributedComp

• (Lucier et al., 2015) ⇒ Brendan Lucier, Joel Oren, and Yaron Singer. (2015). “Influence at Scale: Distributed Computation of Complex Contagion in Networks.” In: Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2015). ISBN:978-1-4503-3664-2 doi:10.1145/2783258.2783334

Subject Headings:

Cited By

• http://scholar.google.com/scholar?q=%222015%22+Influence+at+Scale%3A+Distributed+Computation+of+Complex+Contagion+in+Networks
• http://dl.acm.org/citation.cfm?id=2783258.2783334&preflayout=flat#citedby

Quotes

Author Keywords

• Distributed computation; general; influence maximization; mapreduce; social networks; submodular

Abstract

We consider the task of evaluating the spread of influence in large networks in the well-studied independent cascade model. We describe a novel sampling approach that can be used to design scalable algorithms with provable performance guarantees. These algorithms can be implemented in distributed computation frameworks such as MapReduce. We complement these results with a lower bound on the query complexity of influence estimation in this model. We validate the performance of these algorithms through experiments that demonstrate the efficacy of our methods and related heuristics.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2015 InfluenceatScaleDistributedComp	Brendan Lucier Joel Oren Yaron Singer			Influence at Scale: Distributed Computation of Complex Contagion in Networks				10.1145/2783258.2783334		2015