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All Outputs (2)

FIMS: Identifying, Predicting and Visualising Food Insecurity (2020)
Conference Proceeding
Lucas, B., Smith, A., Smith, G., Perrat, B., Nica-Avram, G., Harvey, J., & Goulding, J. (2020). FIMS: Identifying, Predicting and Visualising Food Insecurity. In WWW '20: Companion Proceedings of the Web Conference 2020 (190-193). https://doi.org/10.1145/3366424.3383538

Food insecurity is a persistent and pernicious problem in the UK. Due to logistical challenges, national food insecurity statistics are unmeasured by government bodies - and this lack of data leads to any local estimates that do exist being routinely... Read More about FIMS: Identifying, Predicting and Visualising Food Insecurity.

Engagement in Motion: Exploring Short Term Dynamics in Page-Level Social Media Metrics (2014)
Conference Proceeding
Lucas, B., Arefin, A. S., Vries, N. J. D., Berretta, R., Carlson, J., & Moscato, P. (2015). Engagement in Motion: Exploring Short Term Dynamics in Page-Level Social Media Metrics. In 2014 IEEE Fourth International Conference on Big Data and Cloud Computingdoi:10.1109/bdcloud.2014.56

Using page-level metrics of a randomly selected group of 15,625 among the top 100,000 Facebook check-in locations which rank high in terms of customer engagement, we explore if the short-term dynamical information on these metrics could deliver, via... Read More about Engagement in Motion: Exploring Short Term Dynamics in Page-Level Social Media Metrics.