Maximizing the spread of influence through a social network
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Methodological challenges and analytic opportunities for modeling and interpreting Big Healthcare DataWhich Doctor to Trust: A Recommender System for Identifying the Right DoctorsConsume, Modify, Share (CMS): The Interplay between Individual Decisions and Structural Network Properties in the Diffusion of InformationCumulative effect in information diffusion: empirical study on a microblogging networkReview of extracting information from the Social Web for health personalizationBalancing Speed and Coverage by Sequential Seeding in Complex Networks.Temporal scaling in information propagationPolarity related influence maximization in signed social networksInferring disease transmission networks at a metapopulation level.Re-Examining of Moffitt's Theory of Delinquency through Agent Based Modeling.Spatial Structure of Evolutionary Models of Dialects in ContactFinding Influential Spreaders from Human Activity beyond Network Location.The Impact of Heterogeneous Thresholds on Social Contagion with Multiple Initiators.Qualities and Inequalities in Online Social Networks through the Lens of the Generalized Friendship Paradox.The "Majority Illusion" in Social Networks.Are You Your Friends' Friend? Poor Perception of Friendship Ties Limits the Ability to Promote Behavioral Change.Influence maximization in time bounded network identifies transcription factors regulating perturbed pathwaysInfluencing Busy People in a Social Network.Maximizing the Spread of Influence via Generalized Degree Discount.Learning from Bees: An Approach for Influence Maximization on Viral Campaigns.Heuristic Strategies for Persuader Selection in Contagions on Complex Networks.Solving the influence maximization problem reveals regulatory organization of the yeast cell cycle.Inducing peer pressure to promote cooperationResistance and Security Index of Networks: Structural Information Perspective of Network Security.Identifying a set of influential spreaders in complex networks.Collective Influence of Multiple Spreaders Evaluated by Tracing Real Information Flow in Large-Scale Social Networks.Network analysis of surgical innovation: Measuring value and the virality of diffusion in robotic surgery.Determining causal miRNAs and their signaling cascade in diseases using an influence diffusion model.Diffusion archeology for diffusion progression history reconstruction.Optimal deployment of resources for maximizing impact in spreading processes.Cost-efficient vaccination protocols for network epidemiology.Neighbor-Neighbor Correlations Explain Measurement Bias in Networks.Searching for superspreaders of information in real-world social media.Model of brain activation predicts the neural collective influence map of the brain.On the relation between message sentiment and its virality on social mediaShortest path based network analysis to characterize cognitive load states of human brain using EEG based functional brain networks.Competitive influence maximization and enhancement of synchronization in populations of non-identical Kuramoto oscillators.Quantum machine learning: a classical perspective.Using attractiveness model for actors ranking in social media networks.Detection of strong attractors in social media networks.
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Maximizing the spread of influence through a social network
description
wetenschappelijk artikel
@nl
наукова стаття, опублікована у 2003
@uk
name
Maximizing the spread of influence through a social network
@en
Maximizing the spread of influence through a social network
@nl
type
label
Maximizing the spread of influence through a social network
@en
Maximizing the spread of influence through a social network
@nl
prefLabel
Maximizing the spread of influence through a social network
@en
Maximizing the spread of influence through a social network
@nl
P356
P1476
Maximizing the spread of influence through a social network
@en
P2093
David Kempe
Éva Tardos
P356
10.1145/956750.956769
P577
2003-01-01T00:00:00Z