Selection of influential spreaders in complex networks using Pareto Shell decomposition

Sujatha Yeruva, T. Devi and Y. Samtha Reddy

Physica A: Statistical Mechanics and its Applications, 2016, vol. 452, issue C, 133-144

Abstract: The selection of prominent nodes in order to maximize the ability of spreading is very crucial in complex networks. The well known K-Shell method, which comprises nodes located at the core of a network, is better than the degree centrality and betweenness centrality, in capturing the spreading ability for a single origin spreader. As per the multiple origin spreaders, the K-Shell method fails to yield similar results when compared to the degree centrality. Current research proposes a Pareto-Shell Decomposition. It employs Pareto front function. It’s Pareto optimal set comprises non-dominated spreads, with the ratio of high out-degree to in-degree and high in-degree. Pareto-Shell decomposition outperforms the K-Shell and the degree centrality for multiple origin spreaders, with the simulation of epidemic spreading process.

Keywords: Complex network; Influence maximization; Information diffusion; Centrality and ranking; Pareto front (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:452:y:2016:i:c:p:133-144

DOI: 10.1016/j.physa.2016.02.053

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