Lowest-degree preference random walks on complex networks

Yan Wang, Xinxin Cao, Tongfeng Weng, Huijie Yang and Changgui Gu

Physica A: Statistical Mechanics and its Applications, 2021, vol. 577, issue C

Abstract: We introduce lowest-degree preference random walks on complex networks for which the walker concurrently adopts random walk strategy and lowest-degree search strategy controlled by a tuning parameter. Mean first passage time is adopted to quantify its search efficiency. We find that on a majority of real networks, our navigation strategy can significantly reduce the search time in comparison with random walks. The corresponding relative differences are over 15%. Moreover, we show that an optimal tuning parameter for which the minimal search time is achieved presents a strong positive correlation with entropy of degree sequence. Furthermore, we find that this optimal tuning parameter can indicate how much the search time can be reduced. Our work opens a new path for designing an efficient search strategy when only local information is available.

Keywords: Lowest-degree preference random walk; Mean first passage time; Complex networks (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:577:y:2021:i:c:s0378437121003484

DOI: 10.1016/j.physa.2021.126075

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