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A Linear Time Algorithm for Influence Maximization in ...
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由 H Wu 著作2017被引用 4 次 — To solve this problem both efficiently and effectively, in this paper we propose LAIM: a linear time algorithm for influence maximization in ...
A Linear Time Algorithm for Influence Maximization in Large-Scale ...
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Influence maximization is the problem of finding k seed nodes in a given network as information sources so that the influence cascade can be maximized.
A Linear Time Iterative Approach for Efficient Influence ...
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由 H Wu 著作2018被引用 36 次 — To address this issue, in this paper, we propose LAIM: a linear time iterative approach for efficient IM on large-scale networks. Our framework ...
A novel ITÖ Algorithm for influence maximization in the ...
ScienceDirect.com
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由 Y Wang 著作2018被引用 22 次 — A novel efficient heuristic algorithm based on ITÖ process, denoted ITÖ-IM, is proposed to solve the IM problem.
LAIM: A Linear Time Iterative Approach for Efficient Influence ...
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This article proposes a problem about maximizing the positive influence in signed networks within a limited time (PIMST), further it utilizes the influence ...
Analysis of Influence Maximization in Large-Scale Social ...
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由 J Hu 著作被引用 21 次 — In this paper, we dis- cuss two basic methods to compute the influence in general social networks, and then reveal that the computation of influence in series- ...
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Influence Maximization in Big Networks: An Incremental ...
IJCAI
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由 WX Lu 著作被引用 12 次 — Influence maximization in social networks is defined as finding a subset of nodes that can trig- ger the largest number of users propagating the given infor-.
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Influence Maximization in Near-Linear Time | Request PDF
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[17] proposed a series of more effective algorithms for influence maximization in large social networks that has both theoretical guarantee and practical ...
geopanag/awesome-influence-maximization-papers
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A list of influence maximization and influence learning papers, organized based on the type of data they rely on, their aim and their constraints.
Influence Maximization over Large-Scale Social Networks
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LAIM: A Linear Time Iterative Approach for Efficient Influence Maximization in Large-Scale Networks · A high-performance algorithm for finding influential nodes ...
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