Dr Matthew Rowe

M.Eng., Ph.D., Pg.CAP.

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

As of July 2016, I will be working as a Scientist at Experian.



My core research interest is in the area of Social Computing where I examine how users, communities, and networks evolve on social media. I am also interested in data-driven approaches towards informing digital rights and accountability. In particular, my research examines the following topics:
  • Churn prediction (from online services, applications, and communities) using machine learning techniques.
  • Recommender systems with collaborative filtering - with an emphasis on latent-factor models.
  • Information diffusion models (e.g. general threshold, multivariate cascades).
  • Large-scale data mining using parallel-processing techniques implemented over distributed hardware.

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

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.413 Applied Data Mining - Semantic web, social networks, recommender systems, network and web science, information extraction and retrieval, and scalable data processing
  • SCC.461 Programming for Data Scientists - Object-oriented programming principles, abstract data types, data I/O, 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...