| Temporal patterns of happiness and information in a global social network: Hedonometrics and Twitter PS Dodds, KD Harris, IM Kloumann, CA Bliss, CM Danforth Arxiv preprint arXiv:1101.5120, 2011 | 686 | 2011 |
| The geography of happiness: Connecting twitter sentiment and expression, demographics, and objective characteristics of place L Mitchell, MR Frank, KD Harris, PS Dodds, CM Danforth PloS one 8 (5), e64417, 2013 | 405 | 2013 |
| Human language reveals a universal positivity bias PS Dodds, EM Clark, S Desu, MR Frank, AJ Reagan, JR Williams, ... Proceedings of the National Academy of Sciences 112 (8), 2389-2394, 2015 | 215 | 2015 |
| Twitter reciprocal reply networks exhibit assortativity with respect to happiness CA Bliss, IM Kloumann, KD Harris, CM Danforth, PS Dodds Journal of Computational Science 3 (5), 388-397, 2012 | 136 | 2012 |
| Optimal degrees of synaptic connectivity A Litwin-Kumar, KD Harris, R Axel, H Sompolinsky, LF Abbott Neuron 93 (5), 1153-1164. e7, 2017 | 115 | 2017 |
| Positivity of the English language IM Kloumann, CM Danforth, KD Harris, CA Bliss, PS Dodds Arxiv preprint arXiv:1108.5192, 2011 | 105 | 2011 |
| Limited imitation contagion on random networks: Chaos, universality, and unpredictability PS Dodds, KD Harris, CM Danforth Physical review letters 110 (15), 158701, 2013 | 32 | 2013 |
| Spectral gap in random bipartite biregular graphs and applications G Brito, I Dumitriu, KD Harris arXiv preprint arXiv:1804.07808, 2018 | 21 | 2018 |
| High-resolution data-driven model of the mouse connectome JE Knox, KD Harris, N Graddis, JD Whitesell, H Zeng, JA Harris, ... Network Neuroscience 3 (1), 217-236, 2018 | 20 | 2018 |
| Exact solutions for social and biological contagion models on mixed directed and undirected, degree-correlated random networks JL Payne, KD Harris, PS Dodds Physical Review E 84 (1), 016110, 2011 | 19 | 2011 |
| Different roles for inhibition in the rhythm-generating respiratory network KD Harris, T Dashevskiy, J Mendoza, AJ Garcia III, JM Ramirez, ... Journal of neurophysiology 118 (4), 2070-2088, 2017 | 16 | 2017 |
| Direct, physically motivated derivation of the contagion condition for spreading processes on generalized random networks PS Dodds, KD Harris, JL Payne Physical Review E 83 (5), 056122, 2011 | 15 | 2011 |
| Dynamical influence processes on networks: General theory and applications to social contagion KD Harris, CM Danforth, PS Dodds Physical Review E 88 (2), 022816, 2013 | 11 | 2013 |
| Empirical correction of a toy climate model NA Allgaier, KD Harris, CM Danforth Physical Review E 85 (2), 026201, 2012 | 8 | 2012 |
| Predicting flow reversals in chaotic natural convection using data assimilation KD Harris, EH Ridouane, DL Hitt, CM Danforth Tellus A 64, 17598, 2012 | 6 | 2012 |
| High resolution neural connectivity from incomplete tracing data using nonnegative spline regression KD Harris, S Mihalas, E Shea-Brown Advances in Neural Information Processing Systems, 3099-3107, 2016 | 5 | 2016 |
| Reply to Garcia et al.: Common mistakes in measuring frequency-dependent word characteristics PS Dodds, EM Clark, S Desu, MR Frank, AJ Reagan, JR Williams, ... Proceedings of the National Academy of Sciences 112 (23), E2984-E2985, 2015 | 4 | 2015 |
| Time-varying Autoregression with Low Rank Tensors KD Harris, A Aravkin, R Rao, BW Brunton arXiv preprint arXiv:1905.08389, 2019 | 3 | 2019 |
| Centering data improves the dynamic mode decomposition SM Hirsh, KD Harris, JN Kutz, BW Brunton SIAM Journal on Applied Dynamical Systems 19 (3), 1920-1955, 2020 | 2 | 2020 |
| Greedy low-rank algorithm for spatial connectome regression P Kürschner, S Dolgov, KD Harris, P Benner The Journal of Mathematical Neuroscience 9 (1), 1-22, 2019 | 2 | 2019 |
Peter Sheridan DoddsProfessor, Computational Story Lab, Center for Complex Systems, Math/Stats, University of VermontVerified email at uvm.edu
