![Jeffrey Morgan](https://profiles-cardiff.imgix.net/attachments/3971?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Overview
I am a researcher and software developer with multidisciplinary experience in the fields of computer science, social science and geography and planning. My research interests include human-computer interaction, visualisation and big data analytics.
Publication
2021
- Setchi, R. et al. 2021. Artificial intelligence for patent prior art searching. World Patent Information 64 102021. (10.1016/j.wpi.2021.102021)
2019
- Lopez, U. et al., 2019. Enabling citizen science in rural environments with IoT and mobile technologies. Presented at: IoT ’19 Bilbao, Spain 22-25 Oct 2019. , pp.-.
2017
- Smith, K. et al. 2017. “It’ll be our own little Wales out there”: re-situating Bardsey Island for post-devolution Wales in Fflur Dafydd’s Twenty Thousand Saints. Island Studies Journal 12 (2), pp.317-328. (10.24043/isj.35)
2016
- Conejero, J. et al., 2016. Analysing Hadoop power consumption and impact on application QoS. Future Generation Computer Systems 55 , pp.213-223. (10.1016/j.future.2015.03.009)
2015
- Burnap, P. et al. 2015. COSMOS: Towards an integrated and scalable service for analysing social media on demand. International Journal of Parallel, Emergent and Distributed Systems 30 (2), pp.80-100. (10.1080/17445760.2014.902057)
- Burnap, P. et al. 2015. Detecting tension in online communities with computational Twitter analysis. Technological Forecasting & Social Change 95 , pp.96-108. (10.1016/j.techfore.2013.04.013)
- Sloan, L. and Morgan, J. 2015. Who tweets with their location? Understanding the relationship between demographic characteristics and the use of geoservices and geotagging on Twitter. PLoS ONE 10 (11) e0142209. (10.1371/journal.pone.0142209)
- Sloan, L. et al. 2015. Who tweets? Deriving the demographic characteristics of age, occupation and social class from Twitter user meta-data. PLoS ONE 10 (3) e0115545. (10.1371/journal.pone.0115545)
2013
- Conejero, J. et al., 2013. Scaling archived social media data analysis using a hadoop cloud. Presented at: IEEE 6th International Conference on Cloud Computing (CLOUD) Santa Clara, CA, USA 27 June - 2 July 2013. IEEE
- Conejero, J. et al., 2013. Characterising the power consumption of Hadoop Clouds: A social media analysis case study. Presented at: CLOSER 2013: 3rd International Conference on Cloud Computing and Services Science Aachen, Germany 8-10 May 2013. (10.5220/0004373502330243)
- Sloan, L. et al. 2013. Knowing the Tweeters: Deriving sociologically relevant demographics from Twitter. Sociological Research Online 18 (3) 7. (10.5153/sro.3001)
2012
- Burnap, P. et al. 2012. Social media analysis, Twitter and the London Olympics (a research note). Working paper. Cardiff: Cardiff University.
- Burnap, P. et al. 2012. Working paper 153: social media analysis, Twitter and the London Olympics 2012 [working paper]. Working paper. Cardiff: School of Social Sciences, Cardiff University. Available at: http://www.cardiff.ac.uk/socsi/resources/Working%20Paper%20153%20-%20Burnap%20et%20al.%20(2013)%20Social%20Media%20Analysis,%20Twitter%20and%20the%20London%20Olympics%202012%20-%20A%20Research%20Note.pdf.
Articles
- Burnap, P. et al. 2015. COSMOS: Towards an integrated and scalable service for analysing social media on demand. International Journal of Parallel, Emergent and Distributed Systems 30 (2), pp.80-100. (10.1080/17445760.2014.902057)
- Burnap, P. et al. 2015. Detecting tension in online communities with computational Twitter analysis. Technological Forecasting & Social Change 95 , pp.96-108. (10.1016/j.techfore.2013.04.013)
- Conejero, J. et al., 2016. Analysing Hadoop power consumption and impact on application QoS. Future Generation Computer Systems 55 , pp.213-223. (10.1016/j.future.2015.03.009)
- Setchi, R. et al. 2021. Artificial intelligence for patent prior art searching. World Patent Information 64 102021. (10.1016/j.wpi.2021.102021)
- Sloan, L. and Morgan, J. 2015. Who tweets with their location? Understanding the relationship between demographic characteristics and the use of geoservices and geotagging on Twitter. PLoS ONE 10 (11) e0142209. (10.1371/journal.pone.0142209)
- Sloan, L. et al. 2015. Who tweets? Deriving the demographic characteristics of age, occupation and social class from Twitter user meta-data. PLoS ONE 10 (3) e0115545. (10.1371/journal.pone.0115545)
- Sloan, L. et al. 2013. Knowing the Tweeters: Deriving sociologically relevant demographics from Twitter. Sociological Research Online 18 (3) 7. (10.5153/sro.3001)
- Smith, K. et al. 2017. “It’ll be our own little Wales out there”: re-situating Bardsey Island for post-devolution Wales in Fflur Dafydd’s Twenty Thousand Saints. Island Studies Journal 12 (2), pp.317-328. (10.24043/isj.35)
Conferences
- Conejero, J. et al., 2013. Scaling archived social media data analysis using a hadoop cloud. Presented at: IEEE 6th International Conference on Cloud Computing (CLOUD) Santa Clara, CA, USA 27 June - 2 July 2013. IEEE
- Conejero, J. et al., 2013. Characterising the power consumption of Hadoop Clouds: A social media analysis case study. Presented at: CLOSER 2013: 3rd International Conference on Cloud Computing and Services Science Aachen, Germany 8-10 May 2013. (10.5220/0004373502330243)
- Lopez, U. et al., 2019. Enabling citizen science in rural environments with IoT and mobile technologies. Presented at: IoT ’19 Bilbao, Spain 22-25 Oct 2019. , pp.-.
Monographs
- Burnap, P. et al. 2012. Social media analysis, Twitter and the London Olympics (a research note). Working paper. Cardiff: Cardiff University.
- Burnap, P. et al. 2012. Working paper 153: social media analysis, Twitter and the London Olympics 2012 [working paper]. Working paper. Cardiff: School of Social Sciences, Cardiff University. Available at: http://www.cardiff.ac.uk/socsi/resources/Working%20Paper%20153%20-%20Burnap%20et%20al.%20(2013)%20Social%20Media%20Analysis,%20Twitter%20and%20the%20London%20Olympics%202012%20-%20A%20Research%20Note.pdf.