2010 ScalableInfluenceMaximizationfo

• (Chen et al., 2010) ⇒ Wei Chen, Chi Wang, and Yajun Wang. (2010). “Scalable Influence Maximization for Prevalent Viral Marketing in Large-scale Social Networks.” In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2010). doi:10.1145/1835804.1835934

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• http://scholar.google.com/scholar?q=%22Scalable+influence+maximization+for+prevalent+viral+marketing+in+large-scale+social+networks%22+2010
• http://portal.acm.org/citation.cfm?id=1835934&preflayout=flat#citedby

Quotes

Abstract

Influence maximization, defined by Kempe, Kleinberg, and Tardos (2003), is the problem of finding a small set of seed nodes in a social network that maximizes the spread of influence under certain influence cascade models. The scalability of influence maximization is a key factor for enabling prevalent viral marketing in large-scale online social networks. Prior solutions, such as the greedy algorithm of Kempe et al. (2003) and its improvements are slow and not scalable, while other heuristic algorithms do not provide consistently good performance on influence spreads. In this paper, we design a new heuristic algorithm that is easily scalable to millions of nodes and edges in our experiments. Our algorithm has a simple tunable parameter for users to control the balance between the running time and the influence spread of the algorithm. results from extensive simulations on several real-world and synthetic networks demonstrate that our algorithm is currently the best scalable solution to the influence maximization problem: (a) our algorithm scales beyond million-sized graphs where the greedy algorithm becomes infeasible, and (b) in all size ranges, our algorithm performs consistently well in influence spread -- it is always among the best algorithms, and in most cases it significantly outperforms all other scalable heuristics to as much as 100% -- 260% increase in influence spread.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2010 ScalableInfluenceMaximizationfo	Chi Wang Wei Chen Yajun Wang			Scalable Influence Maximization for Prevalent Viral Marketing in Large-scale Social Networks		KDD-2010 Proceedings		10.1145/1835804.1835934		2010