***** To join INSNA, visit http://www.insna.org *****

Workshop on Relational Event Models for the analysis of social networks

3-4 June, 2019 at University of Exeter Business School, UK

Instructors: Alessandro Lomi and Jürgen Lerner

 

For more information and to register: http://business-school.exeter.ac.uk/research/centres/rmc/events/relationaleventmodels/

Networks of social relations frequently generate information on repeated interaction between sender and receiver units over time. This information typically takes the form of relational event sequences - streams of directed, time-ordered events connecting social actors. Examples of relational events are common. Conversation, financial transactions, technology-mediated communications, interorganizational relations, participation in team works and peer-production projects, are all examples of interactive situations that generate observable streams of relational events. Sender and receiver units connected by relational events may be defined at different levels of analysis. Examples include individuals (exchanging words), teams (exchanging members), organizations (exchanging material and symbolic resources), sectors of the economy (exchanging human and financial capital), and even countries (exchanging signals of cooperation or competition).  

The purpose of this workshop is to introduce relational event models (REMs) - a newly derived class of statistical models that may be adopted to study network systems of repeated interaction. Unlike more established models for social networks, REMs do not require aggregation of multiple events into binary network ties. Rather, REMs afford direct analysis of the underlying micro-structure of social networks through the specification of dynamic relational mechanisms that generate the observed event streams. Unlike available statistical models for social networks, relational event models take into account the entire history of interaction between the units of interest. The workshop is designed to be self-contained. The first day introduces the fundamental concepts in the statistical analysis of social networks needed to understand current research based on relational event data. The second day is dedicated to the practice of specifying, estimating and, interpreting relational event models. 

Throughout the workshop, participants will have an opportunity to gain practical experience through hands-on analysis of relational event models using the freely available software package eventnet1. Illustrative examples and data will be drawn from active empirical research projects on the dynamics of peer-production, interorganizational coordination, and team assembly.

If you have any questions about the workshop please contact Andrew Parker: [log in to unmask]

 

 

Andrew Parker
Professor of Business
Head of Department for Science, Innovation, Technology, and Entrepreneurship (SITE)

Director of the Research Methods Centre (RMC)

University of Exeter Business School
Tel: +44(0) 1392 723485

Email: [log in to unmask]


 

_____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.