Temporal patterns of happiness and information in a global social network: Hedonometrics and Twitter - Peter Sheridan Dodds; Kameron Decker Harris; Isabel M. Kloumann; Catherine A. Bliss; Christopher M. Danforth (CoRR, 2011)

Physical, transparent derivation of the contagion condition for spreading processes on generalized random networks - Peter Sheridan Dodds; Kameron Decker Harris; Joshua L. Payne (CoRR, 2011)

Exact solutions for social and biological contagion models on mixed directed and undirected, degree-correlated random networks - Joshua L. Payne; Kameron Decker Harris; Peter Sheridan Dodds (CoRR, 2011)

Positivity of the English language - Isabel M. Kloumann; Christopher M. Danforth; Kameron Decker Harris; Catherine A. Bliss; Peter Sheridan Dodds (CoRR, 2011)

On-off Threshold Models of Social Contagion - Kameron Decker Harris (CoRR, 2012)

Twitter reciprocal reply networks exhibit assortativity with respect to happiness. - Catherine A. Bliss; Isabel M. Kloumann; Kameron Decker Harris; Christopher M. Danforth; Peter Sheridan Dodds (J. Comput. Sci., 2012)

The Geography of Happiness: Connecting Twitter sentiment and expression, demographics, and objective characteristics of place - Lewis Mitchell; Kameron Decker Harris; Morgan R. Frank; Peter Sheridan Dodds; Christopher M. Danforth (CoRR, 2013)

Dynamics of influence processes on networks: Complete mean-field theory; the roles of response functions, connectivity, and synchrony; and applications to social contagion - Kameron Decker Harris; Christopher M. Danforth; Peter Sheridan Dodds (CoRR, 2013)

Human language reveals a universal positivity bias. - Peter Sheridan Dodds; Eric M. Clark; Suma Desu; Morgan R. Frank; Andrew J. Reagan; Jake Ryland Williams; Lewis Mitchell; Kameron Decker Harris; Isabel M. Kloumann; James P. Bagrow; Karine Megerdoomian; Matthew T. McMahon; et al. (CoRR, 2014)

Reply to Garcia et al.: Common mistakes in measuring frequency dependent word characteristics. - Peter Sheridan Dodds; Eric M. Clark; Suma Desu; Morgan R. Frank; Andrew J. Reagan; Jake Ryland Williams; Lewis Mitchell; Kameron Decker Harris; Isabel M. Kloumann; James P. Bagrow; Karine Megerdoomian; Matthew T. McMahon; et al. (CoRR, 2015)

High resolution neural connectivity from incomplete tracing data using nonnegative spline regression. - Kameron Decker Harris; Stefan Mihalas; Eric Shea-Brown (NIPS, 2016)

Additive function approximation in the brain. - Kameron Decker Harris (CoRR, 2019)

Centering Data Improves the Dynamic Mode Decomposition. - Seth M. Hirsh; Kameron Decker Harris; J. Nathan Kutz; Bingni W. Brunton (SIAM J. Appl. Dyn. Syst., 2020)

Time-Varying Autoregression with Low-Rank Tensors. - Kameron Decker Harris; Aleksandr Y. Aravkin; Rajesh Rao; Bingni Wen Brunton (SIAM J. Appl. Dyn. Syst., 2021)

Deterministic Tensor Completion with Hypergraph Expanders. - Kameron Decker Harris; Yizhe Zhu (SIAM J. Math. Data Sci., 2021)

Spectral gap in random bipartite biregular graphs and applications. - Gerandy Brito; Ioana Dumitriu; Kameron Decker Harris (Comb. Probab. Comput., 2022)

Structured random receptive fields enable informative sensory encodings. - Biraj Pandey; Marius Pachitariu; Bingni W. Brunton; Kameron Decker Harris (PLoS Comput. Biol., 2022)

Spectral gap-based deterministic tensor completion. - Kameron Decker Harris; Oscar López; Angus Read; Yizhe Zhu (CoRR, 2023)

Identification of recurrent dynamics in distributed neural populations. - Rodrigo Osuna-Orozco; Edward Castillo; Kameron Decker Harris; Samantha R. Santacruz (PLoS Comput. Biol., 2025)