COSMOS Overview

I designed and developed the COSMOS software platform to help data analysts, such as social scientists, who want to visualize, analyze and mash together social media and traditional curated data sets but who do not have the programming background to enable them to do so.

COSMOS was a collaboration between computer and social scientists at the UK universities of Cardiff, St. Andrews, Edinburgh and Warwick.

• COSMOS One
• COSMOS Desktop
• Euro 2012 Twitter Dashboard
• Detecting Anomalies with Human Sensors

Videos

See how COSMOS Desktop works by watching the videos in my COSMOS YouTube playlist.

COSMOS on the Web

• Studying social media enables real-time social research
• Collaborative Online Social Media Observatory (COSMOS)
• COSMOS: Beginnings, Emerging Findings and Possible Futures (NCRM Podcast)
• Using Twitter as a data source: An overview of current social media research tools (LSE Blog)
• COSMOS - New Social Media New Social Science (SlideShare)
• Going viral in social media - networks & intercepted misinformation
• Big Social Data with COSMOS (Web Science Trust Webinar)

Publications

• Who Tweets with Their Location? Understanding the Relationship between Demographic Characteristics and the Use of Geoservices and Geotagging on Twitter
  Sloan, L. and Morgan, J.
  PLoS ONE 10(11)
  2015
• Who Tweets? Deriving the Demographic Characteristics of Age, Occupation and Social Class from Twitter User Meta-Data
  Sloan, L., Morgan, J., Burnap, P. and Williams, M.
  PLoS ONE, 10(3)
  2015
• Big and broad social data and the sociological imagination: A collaborative response
  Housley, W., Procter, R., Edwards, E., Burnap, P., Williams, M., Sloan, L., Rana, O., Morgan, J., Voss, A. and Greenhill, A.
  Big Data & Society, 1(2): 1-15
  2014
• COSMOS: Towards an Integrated and Scalable Service for Analyzing Social Media on Demand
  Burnap, P., Rana, O., Williams, M., Housley, W., Edwards, A., Morgan, J, Sloan, L. and Conejero, J.
  International Journal of Parallel, Emergent and Distributed Systems, (30)2: 80-100
  2014
• Detecting Tension in Online Communities with Computational Twitter Analysis
  Burnap, P., Rana, O., Avis, N., Williams, M., Housley, W., Edwards, A., Morgan, J. and Sloan, L.
  Technological Forecasting and Social Change, (95)6: 96–108
  2013
• Scaling Archived Social Media Data Analysis using a Hadoop Cloud
  Conejero, J., Burnap, P., Rana, O. and Morgan, J.
  Proceedings of the 2013 IEEE International Conference on Cloud Computing (CLOUD), San Francisco USA: 685-692
  2013
• Characterising the Power Consumption of Hadoop Clouds: A Social Media Analysis Case Study
  Conejero, J., Rana, O., Burnap, P., Morgan, J., Carrion, C and Caminero, B.
  Proceedings of the 2013 IEEE International Conference on Cloud Computing and Services Science (CLOSER), Aachen, Germany Best paper award
  2013
• Knowing the Tweeters: Deriving Sociologically Relevant Demographics from Twitter
  Sloan, L., Morgan, J., Housley, W., Williams, M.L., Edwards, A., Burnap, P. and Rana, O.
  Sociological Research Online, 18(3)
  2013
• Policing Cyber-Neighbourhoods: Tension Monitoring and Social Media Networks
  Williams, M.L. Edwards, A., Housley, W., Burnap, P., Rana, O., Avis, N., Morgan, J. and Sloan, L.
  Policing & Society, 23(4): 461-481
  2013