The University of Exeter Centre for Social Networks (ECSN) is offering a series of workshops in March-June 2020. For an overview see: http://business-school.exeter.ac.uk/research/centres/ecsn/. If you have any questions about the workshops please email: [log in to unmask].
30 March to 3 April 2020: 5-day workshop on longitudinal social network analysis focused around the RSiena software. (There are only a few spaces left for this workshop)
The workshop will be led by Professors Tom Snijders and Alessandro Lomi. The workshop consists of two separate modules. The first module introduces participants to the analysis of longitudinal network data by way of stochastic actor-oriented models, and to the analysis of peer influence processes taking place in such dynamically changing networks. The second module address advanced topics and will serve as an introduction to new developments in RSiena, such as the multilevel analysis of multi-group data with the help of random effects models instantiated in the sienaBayes function, the analysis of continuous dependent actor variables, and hints for forward model selection obtained from the sienaGOF function. There will also be the opportunity to present and discuss draft papers using RSiena. Further information and registration is available at: http://business-school.exeter.ac.uk/research/centres/ecsn/events/workshop_on_longitudinal_network_analysis_with_rsi/
19 May 2020: 1-day workshop on Social Network Analysis and Text Analysis
The workshop will be led by Dr. Jesse Fagan. Attendees of this workshop will learn how to integrate text analysis and social network analysis. The workshop will focus on the different ways of extracting linguistic information from text, drawing relationships between people / organizations and documents / language. The workshop will cover: basic steps in processing text information to use in analysis; using topic models, sentiment analysis, and linguistic behavior as node attributes; creating visualizations that map what people talk about to who they talk to; creating networks of documents and words and comparing them; and using text and network features to predict and model outcomes and behavior. Further information and registration is available at: http://business-school.exeter.ac.uk/research/centres/ecsn/events/network-analysis/
20-21 May: 2-day workshop on Exponential Random Graph Models
The workshop will be led by Dr. Lorien Jasny. This workshop will provide a hands-on tutorial to using exponential-family random graph models (ERGMs) for statistical analysis of social networks, using the "ergm" package in statnet. The ergm package provides tools for the specification, estimation, assessment and simulation of ERGMs that incorporate the complex dependencies within networks. Topics covered in this workshop include: an overview of the ERGM framework; defining and fitting models to empirical data; interpretation of model coefficients; goodness-of-fit and model adequacy checking; simulation of networks using ERG models; and degeneracy assessment and avoidance. Advanced topics (day 2) include more complex constraints, modelling and simulation of complete networks from egocentrically sampled data, bipartite networks, valued data, and the separable temporal ERG model. Further information and registration is available at: http://business-school.exeter.ac.uk/research/centres/ecsn/events/exponential-random-graph-models/.
22 May 2020: 1-day workshop on Dynamic Network Actor Models (DyNAMs) using the Goldfish package in R
The workshop will be led by Professor Christoph Stadtfeld. This workshop introduces and compares different approaches for the analysis of relational event data. The goal is to provide an overview of research problems that relate to relational event data, to enable participants to conduct basic analyses with the Goldfish package, and to introduce conceptual and practical differences between actor-oriented and tie-oriented network event models. In particular, the workshop introduces two types of Dynamic Network Actor Models (DyNAMs), one for directed event data and one for time-stamped coordination networks. Both actor-oriented models are compared to tie-oriented Relational Event Models. Further information and registration is available at: http://business-school.exeter.ac.uk/research/centres/ecsn/events/.
22-26 June 2020: 5-day workshop on “The analysis of social networks: From description to statistical modelling”
The workshop will be led by Professor Alessandro Lomi and Dr. Viviana Amati. This workshop is aimed at those new to network analysis or wanting to reacquaint themselves with the concepts and analytical techniques. The workshop will introduce basic theoretical ideas underlying the network approach. Then it will walk through the basic analytical concepts needed to describe and understand the structure of social networks. Participants will learn how to visualize social network data to discover their main structural features, and how to implement different types of network research designs and approaches to data collection. The course also introduces contemporary statistical models for social networks including: Permutation tests (QAP), Exponential Random Graphs models (ERGMs) and Stochastic Actor-oriented Models (SAOMs). Further information and registration is available at: https://business-school.exeter.ac.uk/research/centres/ecsn/events/introductory-workshop/
Professor of Business
Director of Exeter Centre for Social Networks (ECSN)
University of Exeter Business School
email: [log in to unmask]
Streatham Court, University of Exeter, Rennes Drive, Exeter, EX4 4PU, UK
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