Identifying influential and susceptible members of social networks.
about
Efficient discovery of overlapping communities in massive networksChanging climates of conflict: A social network experiment in 56 schools.Estimating peer effects in networks with peer encouragement designsIdentification and impact of discoverers in online social systems.Measuring large-scale social networks with high resolutionA Cultural Evolution Approach to Digital MediaModelling Influence and Opinion Evolution in Online Collective BehaviourA Model-Free Scheme for Meme Ranking in Social MediaCumulative effect in information diffusion: empirical study on a microblogging networkCultural evolutionary tipping points in the storage and transmission of informationVerification in referral-based crowdsourcingQuantifying the effect of sentiment on information diffusion in social mediaField experiment evidence of substantive, attributional, and behavioral persuasion by members of Congress in online town hallsPeer clustering of exercise and eating behaviours among young adults in Sweden: a cross-sectional study of egocentric network dataExercise contagion in a global social networkVoting contagion: Modeling and analysis of a century of U.S. presidential electionsEfficient detection of contagious outbreaks in massive metropolitan encounter networks.Temporal scaling in information propagationSocial network analysis predicts health behaviours and self-reported health in African villagesA simple generative model of collective online behavior.An AIDS-denialist online community on a Russian social networking service: patterns of interactions with newcomers and rhetorical strategies of persuasion.Finding influential users of online health communities: a new metric based on sentiment influence.Integrating social networks and human social motives to achieve social influence at scaleA 61-million-person experiment in social influence and political mobilization.Social influence bias: a randomized experiment.Word diffusion and climate scienceAdoption of a High-Impact Innovation in a Homogeneous PopulationThe Critical Periphery in the Growth of Social Protests.Does Twitter trigger bursts in signature collections?Identifying influential nodes in large-scale directed networks: the role of clustering.Detecting emotional contagion in massive social networks.Using friends as sensors to detect global-scale contagious outbreaks.Homophily and the speed of social mobilization: the effect of acquired and ascribed traits.Diffusion of lexical change in social mediaEnhancing participation to health screening campaigns by group interactionsInferring a district-based hierarchical structure of social contacts from census data.Digital Ecology: Coexistence and Domination among Interacting Networks.A natural experiment of social network formation and dynamics.Competing for Attention in Social Media under Information Overload ConditionsEffect of Media Usage Selection on Social Mobilization Speed: Facebook vs E-Mail.
P2860
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P2860
Identifying influential and susceptible members of social networks.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年学术文章
@wuu
2012年学术文章
@zh
2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
2012年學術文章
@zh-hant
name
Identifying influential and susceptible members of social networks.
@en
Identifying influential and susceptible members of social networks.
@nl
type
label
Identifying influential and susceptible members of social networks.
@en
Identifying influential and susceptible members of social networks.
@nl
prefLabel
Identifying influential and susceptible members of social networks.
@en
Identifying influential and susceptible members of social networks.
@nl
P356
P1433
P1476
Identifying influential and susceptible members of social networks.
@en
P2093
Dylan Walker
Sinan Aral
P304
P356
10.1126/SCIENCE.1215842
P407
P577
2012-06-21T00:00:00Z