No photo of Martin Everett

Martin Everett


  • Co-director of the Mitchell Centre, Sociology
If you made any changes in Pure these will be visible here soon.

Personal profile

Further information



I regularly give workshops, training and consultancy on social network analysis particularly relating to the software package UCINET to both private and public sector companies. Please feel free to contact me todiscuss any requirements you may have in this area.We hold a yearly workshop on the analysis of social networks here at Manchestersee the Mitchell Centre website for further information.

My group

Research Group(s)



Currently I am teaching

SOST 71032 A master's unit on social network analysis.



I am currently co-director of the Mitchell Centre for Social Network Analysis.

I have a BSc in mathematics from Loughborough University and an MSc also in mathematics from Oxford University. I continued at Oxford to complete a DPhil which was a jointly awarded by mathematics and sociology. I joined Manchester in 2009 having previously worked at East London, Westminster and Greenwich universities. I helped co-found the Mitchell centre for social network analysis which evolved from the existing Manchester Social Networks Group. The centre is named after Clyde Mitchell who was a founding father of the discipline whilst he was a Professor here in Manchester. In addition Clyde was my sociology supervisor for my DPhil at Oxford.

I am a past president of the International Network for Social Network Analysis (INSNA) and a Simmel award holder (the highest award given by the organization). I was elected an academician of the Academy of Social Sciences in 2004.

I am a co-author of the software package UCINET the world's most commonly used software for analyzing social network data. I have consulted extensively on the use of networks with government agencies as well as public and private companies

Research interests

My main interest is in mathematical or  analytical sociology and I am principally a methodologist focusing in the area of social networks. In particular I am interested in new non-statistical and descriptive methods such as centrality, positional analysis techniques and cohesive subgroups for networks and in the analysis of non-standard network data such as two-mode networks and networks containing negative ties. 
I am involved in a number of on-going projects with colleagues both in Manchester and from other universities as follows.
A book on analyzing social networks using R.
Techniques for dealing with overlapping attributes in network data.
Scientific networks
Directed two mode data.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 16 - Peace, Justice and Strong Institutions

Research Beacons, Institutes and Platforms

  • Digital Futures
  • Institute for Data Science and AI


Dive into the research topics where Martin Everett is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or