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Link overlap,viability, and mutual percolation in multiplex networks
Institution:1. School of Mathematical Sciences, Jiangsu University, Zhenjiang 212013, People''s Republic of China;2. Academy of Military Science, Beijing 100097, People''s Republic of China;3. Department of Physics, Bar-Ilan University, Ramat-Gan 52900, Israel;4. School of Finance, Shanghai University of Finance and Economics, Shanghai 200433, People''s Republic of China;5. Universidade de Pernambuco, Recife 50100-010, Brazil
Abstract:Many real-world complex systems are best modeled by multiplex networks. The multiplexity has proved to have broad impact on the system’s structure and function. Most theoretical studies on multiplex networks to date, however, have largely ignored the effect of the link overlap across layers despite strong empirical evidences for its significance. In this article, we investigate the effect of the link overlap in the viability of multiplex networks, both analytically and numerically. After a short recap of the original multiplex viability study, the distinctive role of overlapping links in viability and mutual connectivity is emphasized and exploited for setting up a proper analytic framework. A rich phase diagram for viability is obtained and greatly diversified patterns of hysteretic behavior in viability are observed in the presence of link overlap. Mutual percolation with link overlap is revisited as a limit of multiplex viability problem, and the controversy between existing results is clarified. The distinctive role of overlapping links is further demonstrated by the different responses of networks under random removals of overlapping and non-overlapping links, respectively, as well as under several link-removal strategies. Our results show that the link overlap facilitates the viability and mutual percolation; at the same time, the presence of link overlap poses a challenge in analytical approaches to the problem.
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