Dr Matthew Rowe

Lecturer in Social Computing | M.Sc. Data Science Director

Email: m.rowe [AT] lancaster.ac.uk (public key - Key ID: DFC2E00A)
Address: School of Computing and Communications, Infolab 21, Lancaster University,
Lancaster, LA1 4WA UK

Home | About | Publications | Teaching | Supervision | Projects | Reviewing Activities | Online Presence



My core research interest is in the area of Social Computing where I examine how users engage with the social web and social media, how such engagement evolves over time, and the factors that are linked with such changes. To facilitate my research I examine the following topics:
  • Automated prediction methods based on machine learning (i.e. objective optimisation techniques)
  • Data mining using statistical models and scalable pattern recognition techniques
  • The semantic web and linked data, including user and community representation paradigms
  • Identity disambiguation and coreference resolution

Before joining Lancaster I worked for two years (2010-2012) as a Research Assciate at the Knowledge Media Institute (KMi) at the Open University, Milton Keynes, on the EU-Funded Integrated Project ROBUST. On the project I worked on semantic models of user behaviour, role mining and community health and behaviour change prediction methods. Before joining KMi I studied for a Ph.D. (2006-2010) under the supervision of Prof. Fabio Ciravegna at the University of Sheffield. My Ph.D. thesis explored automated identity disambiguation methods and how such methods could be supported using Social Data leveraged from Social Web platforms such as Facebook, MySpace and Twitter.

Recent Publications

  • Language Innovation and Change in On-line Social Networks. D Kershaw, M Rowe, and P Stacey. To appear in the proceedings of the Doctoral Consortium of the ACM Conference on Hypertext 2015. Cyprus. (2015)
  • Proceedings of the Making Sense of Microposts Workshop (#Microposts2015) at the World Wide Web Conference. M Rowe, M Stankovic and A Dadzie. Florence, Italy. (2015)
  • Mining User Development Signals for Online Community Churner Detection. M Rowe. To appear in ACM Transactions on Knowledge Discovery from Data (in press). (2015)
  • Predicting Online Community Churners using Gaussian Sequences. M Rowe. In the proceedings of the 6th International Conference on Social Informatics. Barcelona, Spain. (2014)
  • Adaptive decision making in multi-cloud management. F Samreen, G S Blair and M Rowe. In the proceedings of the CrossCloud Brokers workshop at the ACM/IFIP/USENIX Middleware Conference. Bordeaux, France. (2014)
For a full list of my publications click here.


I am Director of the MSc Data Science. I currently teach the following modules:
  • SCC.130 Information Systems - Social and professional issues of information systems (censorship, privacy, surveillance, copyright, patent law, malware, viruses)
  • SCC.321 Selected Research Topics - Social data analysis, reviewing methods and research skills
  • SCC.400 Professional and Research Methodology - Research languages, research methods and strategies, peer-reviewing papers and proposals, and ethics
  • SCC.403 Data Mining - Data representation using semantics, machine learning, and statistical methods
  • SCC.413 Applied Data Mining - Semantic web, social networks, recommender systems, network and web science, information extraction and retrieval, and scalable data processing
  • SCC.460 Data Science Fundamentals - Data collection and cleaning, quantifying biases, and modelling and applying data.
  • SCC.461 Programming for Data Scientists - Object-oriented programming principles, abstract data types, and data integration and computaional diambiguation

Ph.D. Student Supervision

I currently supervise the following Ph.D. students:
  • Daniel Kershaw - Researching language diffusion through social networks
  • Faiza Samreen - Researching machine learning techniques to enhance cloud adoption strategies for data intensive applications
  • Maria Terzi - Researching review-based recommender systems


  • A photo a day! Narratives of well-being in 365 projects. In collaboration with the University of Sheffield and the University of Leicester.
  • Analysis of historic drought and water scarcity in the UK: a systems-based study of drivers, impacts and their interactions. Began in June 2014. NERC funded for 4-years. SCC Role: Language Cascade Mining from Social Streams.
  • Pattern Analsysis for aTTention Economics in Social web systems (PATTES). 2013-2014. Lancaster Unviersity Internal Funding.

Reviewing Activities

Funding Agencies



Other Activities

Where I can be found...