Xian Teng

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In spreading dynamics in social networks, there exists an optimal set of influencers whose activation can induce a global-scale cascade of information. To find the optimal, or minimal, set of spreaders, a method based on collective influence theory has been proposed for spreading dynamics with a continuous phase transition that can be mapped to optimal(More)
Identifying the most influential spreaders that maximize information flow is a central question in network theory. Recently, a highly scalable method called " Collective Influence (CI) " has been put forward through collective influence maximization. In contrast to previous heuristic methods evaluating nodes' significance separately, CI method inspects the(More)
Identifying highly susceptible individuals in spreading processes is of great significance in controlling outbreaks. In this paper, we explore the susceptibility of people in susceptible-infectious-recovered (SIR) and rumor spreading dynamics. We first study the impact of community structure on people's susceptibility. Despite that the community structure(More)
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