Social Network Analysis in Scotland Group

The Social Network Analysis in Scotland Group (SNAS) provides a forum to discuss projects, issues and ideas related to Social Network Analysis (SNA).

It aims to:

  • Promote and facilitate knowledge exchange and collaboration with regard to SNA;
  • Bring together academic staff, postgraduate students and practitioners engaging with SNA across Scotland and beyond;
  • Produce high quality and collaborative research using SNA.

We welcome anyone with an interest in or experience of applying SNA to research projects and real-life problems. Previous SNAS activities include SNA seminars and lectures, basic and advanced training on SNA theory, methods and databases, presentations of group members' work-in-progress and journal club events.

The group is currently convened by:

Arek Dakessian (Heriot-Watt University), David Jarman (Edinburgh Napier University), Gil Viry (University of Edinburgh), Matjaz Vidmar(University of Edinburgh) and Mark Wong (University of Glasgow).

If you would like to join our mailing list and receive regular updates of SNAS and SNA-related events and information, please visit our Jiscmail webpage to subscribe:

SNAS also organises a monthly seminar series, which consist of a range of presentations from SNAS members and external speakers on their SNA work. Individuals from all backgrounds and levels are welcomed to attend.

We meet on every final Thursday of the month from 15:30 to 17:00. The seminars normally take place in Meeting Room 3.15, Chrystal Macmillan Building, George Square, Edinburgh EH8 9LD.

SNAS Monthly Seminar Series 2019-20

16 October 2019 [please note the different day]
Social Networks and Medieval Scottish Society
Cornell Jackson, University of Leeds
Matthew Hammond, Kings College London

5 November 2019 4:15‐5:15 pm [please note the different day and later time]
Deriving Structure of Organizational Fields from Unstructured Data
David Dekker, University of Greenwich
Location: Violet Laidlaw Room, University of Edinburgh, Chrystal MacMillan Building
This talk is co‐hosted by the Edinburgh Business School, Heriot‐Watt University.

[UPDATE: Due to industrial action, this seminar has changed date and location]
28 November 2019 
5 December 2019

The Diffusion of Zebrafish in Latin American Biomedical Research
Rodrigo Liscovsky Barrera, STIS, University of Edinburgh
Location: Meeting Room 6 (Pod), University of Edinburgh, Chrystal MacMillan Building

12 December 2019
Refugee Integration in the UK – an Ego Network Approach
Arek Dakessian & Leyla Kerlaff, IGHD, Queen Margaret University
Location: Queen Margaret University, Large Boardroom

30 January 2020
Theorizing Networked Events: A Network Analysis of #HimToo
Chamil Rathnayake, Journalism, Media and Communication, University of Strathclyde

13 February 2020
Building Consensus: Idea Brokerage in Policy Networks
Sarah Galey, School of Education, University of Edinburgh

[UPDATE: Due to industrial action, this seminar has been cancelled]
27 February 2020

Siblinghood in Old Age in Europe: An Ego‐centric, Multilevel Network Approach
Jing‐Yi Wang, Sociology, University of Edinburgh

[UPDATE: Due to Covid-19, this seminar has been postponed and will be delivered on-line]
26 March 2020
2 April 2020 -
On Mapping and Analysing a Scientific Paradigm by Citation Network Analysis
Rhodri Leng, STIS, University of Edinburgh
Here is a recording of the session:

[UPDATE: Due to Covid-19, this seminar will be delivered on-line]
30 April 2020 -
Freedom Bridge: male asylum seekers quest for a new life in Ireland
Michael Blaney, Queen Margaret University
Location: Queen Margaret University, Large Boardroom

[UPDATE: Due to Covid-19, this seminar will be delivered on-line]
28 May 2020 -​
Using the relational events model to analyse appointment diaries: a case study based on
Margaret Thatcher

John Mowbray and Mark Tranmer, University of Glasgow

NEW: Special last roundtable session with panel and Q&A about SNA, Covid-19, etc.
9 June 2020 -​
Please, contact David Jarman (email), if you want more info and to register to speak in the panel.
Here is a recording of the session:  

25 June 2020
Measuring and Visualizing Agreement in Scales: a Network Approach
Claudia Zucca and Mark McCann, MRC/CSO Social & Public Health Sciences Unit,
University of Glasgow

Previous Events and Projects

Social Network Analysis Project (SNAP)

Funded by the College of Humanities and Social Science (CHSS) through the 2014-2015 Challenge Investment Fund, SNAP aimed to establish SNAS as a leading research and training unit in the development and application of cross-disciplinary SNA in Scotland and beyond. Project Link:

Workshop on Online Social Networks and Big Data and
Lecture on Privacy of Online Social Networks

This workshop, delivered by Dr. Jordi Herrera and Cristina Prez-Sol (Autonomous University of Barcelona, Spain), provided hands-on training on extracting and analysing data from Online Social Networks, like Twitter and Facebook. Online Social Networks (OSNs) have gained an important space in peoples lives. Their popularity and the fact that OSNs provide a breadth of data about human interaction have made them an increasingly popular research topic.This workshop covered the following topics:

  • How to interact with OSN providers in order to obtain data from OSN sites (e.g. via Application Programming Interfaces, Representational State Transfer and Oauth);
  • How to collect data from social networking sites such as Twitter or Facebook; How toconvert OSN data to standard network formats;
  • How to acquire OSN data in real time, and visualise results.

Public Lecture on "Privacy of Online Social Networks"

Dr. Jordi Herrerawill gave a public lecture on Privacy of Online Social Networks on Monday 27th April 2015 from 16:00 - 18:00. The lecture took place in G.07 Meadows Lecture Theatre - Doorway 4 (Medical School, Teviot), University of Edinburgh, George Square, Edinburgh EH8 9LD

Workshop on Qualitative and Quantitative Network Analysis using R. Focusing on Ego-Networks

The Social Network Analysis in Scotland Group (SNAS) and Project (SNAP) in collaboration with the MRC/CSO Social and Public Health Sciences Unit (SPHSU) ran a full-day workshop on qualitative and quantitative network analysis using R, with a specific focus on ego networks.

Public Lecture on Transnational social support and migration: conflicts in personal networks

Tuesday 31st March 2015 - 12:00-14:00
Seminar Room 2, Chrystal Macmillan Building, University of Edinburgh
Speaker: Dr. Andreas Herz, University Hildesheim, Germany

Public Lecture by Ichiro Kawachi: Social Capital and Health

The Social Network Analysis in Scotland Group (SNAS) in collaboration with the CRESH and OpenSpace at ECA ran a public lecture on: “Social Capital and Health”, with focus on the resources accessed through social networks. The event was delivered by Professor Ichiro Kawachi from the Harvard School of Public Health, Usa. Kawachis’ research interested in the in the social determinants of population health and health disparities, he has made seminal contributions to the link between health and social capital; the resources accessed through social networks. More information about Ichiro and the event can be found here:

Advanced SNA Theories and Methods with Prof. Nick Crossley: Half-day Workshop and Public Lecture

A half-day workshop on advanced SNA theories and methods with Professor Nick Crossley from the University of Manchester. Nick Crossley is a Professor at the University of Manchester and one of the UK's most eminent social network analysts. He co-founded the Mitchell Centre for Social Network Analysis and has contributed to the theory, methods and applications of social network analysis, in various areas such as social movement and protest, and (popular) music scenes The workshop topics included:

  • Mixed methods: How to combine qualitative and quantitative SNA?
  • Two-mode networks: How to analyse simultaneously micro (people, households) and macro social structures (groups, boards of directors, social events) in which people are embedded?
  • Comparing networks: How to compare networks of different structure and nature? How to analyse change in networks?.