An Improved Rumor Inhibition Strategy in Social Network

Abstract

The strategies for rumor inhibition behaved insufficiently in latter half of rumor propagation in social network. A new multi-community immunization strategy was proposed to inhibit the latter half of rumor propagation. This strategy calculated firstly one or several communities of special immure node in social network, and immunized the most important neighbor node in each community with a certain probability. Using Facebook friendship data as simulating experiment data, several rumor inhibition strategies, including multi-community immunization, were evaluated and analyzed comparatively. With initial propagation node and random-selected node separately, comparative experiment was advised to estimate the performance of multi-community immunity strategy. Experiment result indicates that multi-community immunization strategy has more obvious inhibiting effect in latter half of rumor propagation. Using the initial infected node as initial immune node, multi-community immunization strategy can eliminate efficiently hazards in latter half of rumor propagation.