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Results 1-10 of 24 (Search time: 0.003 seconds).
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PreviewIssue DateTitleAuthor(s)
2013The geography of happiness: connecting twitter sentiment and expression, demographics, and objective characteristics of placeMitchell, L.; Frank, M.; Harris, K.; Dodds, P.; Danforth, C.; Sánchez, A.
2015Climate change sentiment on Twitter: an unsolicited public opinion pollCody, E.; Reagan, A.; Mitchell, L.; Dodds, P.; Danforth, C.; Lehmann, S.
2018Characterising seasonal influenza epidemiology using primary care surveillance dataCope, R.; Ross, J.; Chilver, M.; Stocks, N.; Mitchell, L.; Lloyd-Smith, J.
2018Scabies in residential care homes: modelling, inference and interventions for well-connected population sub-unitsKinyanjui, T.; Middleton, J.; Güttel, S.; Cassell, J.; Ross, J.; House, T.; Alizon, S.
2015Glial attenuation with ibudilast in the treatment of medication overuse headache: a double-blind, randomized, placebo-controlled pilot trial of efficacy and safetyJohnson, J.L.; Kwok, Y.H.; Sumracki, N.M.; Swift, J.E.; Hutchinson, M.R.; Johnson, K.; Williams, D.B.; Tuke, J.; Rolan, P.E.
2018Understanding interactions between populations: individual based modelling and quantification using pair correlation functionsDini, S.; Binder, B.; Green, J.
2013Estimating a Markovian epidemic model using household serial interval data from the early phase of an epidemicBlack, A.; Ross, J.; Vespignani, A.
2015Alignment of time course gene expression data and the classification of developmentally driven genes with hidden Markov modelsRobinson, S.; Glonek, G.; Koch, I.; Thomas, M.; Davies, C.
2015Reply to Garcia et al.: common mistakes in measuring frequency-dependent word characteristicsDodds, P.S.; Clark, E.M.; Desu, S.; Frank, M.R.; Reagan, A.J.; Williams, J.R.; Mitchell, L.; Harris, K.D.; Kloumann, I.M.; Bagrow, J.P.; Megerdoomian, K.; McMahon, M.T.; Tivnan, B.F.; Danforth, C.M.
2012Generalized index for spatial data sets as a measure of complete spatial randomnessHackettJones, E.; Davies, K.; Binder, B.; Landman, K.