Publications

Seresinhe, C., Preis, T., & Moat, H. S. (2017). Using deep learning to quantify the beauty of outdoor places. Royal Society Open Science, 4, 170170.

Curme, C., Zhuo, Y. D., Moat, H. S., & Preis, T. (2017). Quantifying the diversity of news around stock market moves. Journal of Network Theory in Finance, 3, 1-20.

Seresinhe, C., Moat, H. S., & Preis, T. (2017). Quantifying scenic areas using crowdsourced data. Environment and Planning B: Urban Analytics and City Science, 0265813516687302.

Kristoufek, L., Moat, H. S., & Preis, T. (2016). Estimating suicide occurrence statistics using Google Trends. EPJ data science, 5, 32.

Moat, H. S., Olivola, C. Y., Chater, N., & Preis, T. (2016). Searching choices: quantifying decision-making processes using search engine data. Topics in cognitive science, 8, 685-696.

Seresinhe, C., Preis, T., & Moat, H. S. (2016). Quantifying the link between art and property prices in urban neighbourhoods. Royal Society Open Science, 3, 160146.

Alanyali, M., Preis, T., & Moat, H. S. (2016). Tracking protests using geotagged Flickr photographs. PLOS ONE, 11, e0150466.

Letchford, A., Preis, T., & Moat, H. S. (2016). The advantage of simple paper abstracts. Journal of Informetrics, 10, 1-8.

Letchford, A., Preis, T., & Moat, H. S. (2016). Quantifying the search behaviour of different demographics using Google Correlate . PLOS ONE, 11, e0149025.

Botta, F., Moat, H. S., Stanley, H. E., & Preis, T. (2015). Quantifying stock return distributions in financial markets. PLOS ONE, 10, e0135600.

Letchford, A., Preis, T., & Moat, H. S. (2015). The advantage of short paper titlesRoyal Society Open Science, 2, 150266

Barchiesi, D., Preis, T., Bishop, S., & Moat, H. S. (2015). Modelling human mobility patterns using photographic data shared online. Royal Society Open Science, 2, 150046.

Barchiesi, D., Moat, H. S., Alis, C. M., Bishop, S. R., & Preis, T. (2015). Quantifying international travel flows using Flickr. PLOS ONE, 10, e0128470.

Preis, T., & Moat, H. S. (2015). Early signs of financial market moves reflected by Google Searches. In B. Gonçalves & N. Perra (Eds.), Social Phenomena: From Data Analysis to Models, pp. 89-102. Amsterdam: Springer.

Alis, C. M., Letchford, A., Moat, H. S., & Preis, T. (2015). Estimating tourism statistics with Wikipedia page views. In ACM Web Science 2015.

Botta, F., Moat, H. S., & Preis, T. (2015). Quantifying crowd size with mobile phone and Twitter data. Royal Society Open Science, 2, 150162.

Alis, C. M., Lim, M. T., Moat, H. S., Barchiesi, D., Preis, T., & Bishop, S. R. (2015). Quantifying regional differences in the length of Twitter messages. PLOS ONE, 10, e0122278.

Seresinhe, C., Preis, T., & Moat, H. S. (2015). Quantifying the impact of scenic environments on health. Scientific reports, 5, 16899.

Preis, T., & Moat, H. S. (2014). Adaptive nowcasting of influenza outbreaks using Google searches. Royal Society Open Science, 1, 140095.

Noguchi, T., Stewart, N., Olivola, C. Y., Moat, H. S., & Preis, T. (2014). Characterizing the time-perspective of nations with search engine query data. PLOS ONE, 9, e95209.

Curme, C., Preis, T., Stanley, H.E., & Moat, H. S. (2014). Quantifying the semantics of search behavior before stock market moves. Proceedings of the National Academy of Sciences, 111, 11600 – 11605.

Moat, H. S., Curme, C., Stanley, H. E., & Preis, T. (2014). Anticipating stock market movements with Google and Wikipedia. In D. Matrasulov, & H. E. Stanley (Eds.), Nonlinear Phenomena in Complex Systems: From Nano to Macro Scale, pp. 47-59. Amsterdam: Springer.

Moat, H. S., Preis, T., Olivola, C.Y., Liu, C., & Chater, N. (2014). Using big data to predict collective behavior in the real world. Behavioral and Brain Sciences, 37, 92-93.

Alanyali, M., Moat, H. S., & Preis, T. (2013). Quantifying the relationship between financial news and the stock market. Scientific Reports, 3, 3578.

Preis, T., Moat, H. S., Bishop, S.R., Treleaven, P., & Stanley, H. E. (2013). Quantifying the digital traces of Hurricane Sandy on Flickr. Scientific Reports, 3, 3141.

Moat, H. S., Curme, C., Avakian, A., Kenett, D.Y., Stanley, H. E., & Preis, T. (2013). Quantifying Wikipedia usage patterns before stock market moves. Scientific Reports, 3, 1801.

Preis, T., Moat, H. S., & Stanley, H. E. (2013). Quantifying trading behavior in financial markets using Google Trends. Scientific Reports, 3, 1684.

Preis, T., Moat, H. S., Stanley, H. E., & Bishop, S.R. (2012). Quantifying the advantage of looking forward. Scientific Reports, 2, 350.