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Comprehending the virality of a meme can help us in addressing the problemspertaining to disciplines like epidemiology and digital marketing. Therefore,it is not surprising that memetics remains a highly analyzed research topicever since the mid 1990s. Some scientists choose to investigate the intrinsiccontagiousness of a meme while others study the problem from a network theoryperspective. In this paper, we revisit the idea of a core-periphery structureand apply it to understand the trajectory of a viral meme in a social network.We have proposed shell-based hill climbing algorithms to determine the pathfrom a periphery shell(where the meme originates) to the core of the network.Further simulations and analysis on the networks behavioral characteristicshelped us unearth specialized shells which we term Pseudo-Cores. These shellsemulate the behavior of the core in terms of size of the cascade triggered. Inour experiments, we have considered two sets for the target nodes, one beingcore and the other being any of the pseudo-core. We compare our algorithmsagainst already existing path finding algorithms and validate the betterperformance experimentally.

Pseudo-Cores: The Terminus of an Intelligent Viral Meme's Trajectory