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:
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: http://jiscmail.ac.uk/SNAS
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.
PLEASE NOTE: Due to continious campus acess restrictions with regard to combating the spread of Covid-19, the 2020-21 seminars will be delivered on-line and announced individually a few months in advance. Please, follow the links listed below to join via Blackboard Collaborate Ultra (no installation required).
SNAS Monthly Seminar Series 2020-21
20 October 2020, 3.30pm - http://bit.ly/SNAS-20Oct20
You’ll never move alone’: Rethinking teacher turnover as inter-school mobility networks
Marc Sarazin, UCLouvain
Recording of the seminar is available here: https://bit.ly/SNAS-20Oct20-Recording
24 November 2020, 3.30pm - https://bit.ly/SNAS-24Nov20
Evolution of Guanxi within Chinese Large-scale Exhibition Service Market
Yehui Hu, University of Greenwich
15 December 2020
Analysing disease transmission in networks (TBC)
Trystan Leng, University of Warwick
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: http://www.sociology.ed.ac.uk/research/grants_and_projects/current_projects/social_network_analysis_project
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: http://www.eca.ed.ac.uk/architecture-landscape-architecture/news-events/public-lecture-social-capital-and-health.
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?.