News & Events

 


Workshop: Applying Social Network Analysis with R

Posted in Science & Technology, Alumni, Research, Scholarly & Artistic Work
Sep 2, 2020 to Sep 4, 2020

The Social Sciences Research Laboratories (SSRL) is pleased to offer two world-class interactive online workshops on social network analysis in September.

A three-day practical workshop on how to analyze social network data with R, a programming language and software environment used for data analysis. No prior knowledge of R is needed for the course.

Wednesday, Sept. 2–Friday, Sept. 4
9 am–12:30 pm each day
Interactive online workshop

Registration: $500 academic; $700 non-academic

Learn more

Register online

Social network analysis focuses on the relations or ties between individuals, groups, organizations, countries, or other types of nodes. Social network analysis techniques are used in many fields of research and have practical applications in numerous occupations, including:

  • organizational behavior research
  • inter-organizational collaboration and resource sharing
  • educational research
  • library studies looking at bibliometric analyses
  • political science and the emergence of conflicts, protests, and coalitions
  • digital communities and social media patterns of interactions
  • public health research
  • communications
  • software development
  • procurement
  • law enforcement and security

This is the first of two workshops in a series titled Connecting Dots: Social Network Analysis with R* hosted by the Social Sciences Research Laboratories (SSRL) at the University of Saskatchewan.

The workshops are led by Filip Agneessens, a leading international scholar in the field of social network analysis.

This three-day workshop offers a practical workshop on how to analyze social network data with R. The workshop focuses both on how to use different R packages (such as igraph and sna) to perform social network analysis, and on how to interpret the results in specific research contexts. After discussing how to import one-mode and two-mode network data into R, we will explore different ways to visualize these networks with R. We then go on to focus on two major levels of analysis: (1) the position of individual nodes in a network, and (2) the network structure as a whole.

Space is limited and registrations are processed on a first-come, first-served basis.

 

Back to News Listing

Related Articles

Innovation Saskatchewan awards $1M to USask research projects

Posted on 2020-09-18

Dr. Natalia Stakhanova (PhD) and Dr. James Benson (PhD), from the College of Arts and Science, are among the recipients


This 6-week online course will teach you all about women composers

Posted on 2020-09-17

The free course, called Musical Herstory, is taught by College of Arts and Science alumna Kendra Harder (BMus'18)


New Canada Post stamp honours “medical groundbreaker” USask alumnus

Posted on 2020-09-16

Dr. James Till (BA’52, MA’54, PhD) and his research partner established the field of stem cell medicine


The Global Cafe presents Dr. Rachel McCormick

2020-10-01
Posted on 2020-09-16

Dr. Rachel McCormick (BA'97), an alumna of the College of Arts and Science, is the Consul General of Canada to the U.S. states of Arkansas, Louisiana, New Mexico, Oklahoma, and Texas


USask launches Canadian Hub for Applied and Social Research

Posted on 2020-09-16

A newly launched research support and consulting hub in the College of Arts and Science offers a unique menu of research services within Canada


USask software helps predict floods and freshwater supplies

Posted on 2020-09-14

Predicting snowmelt in the mountain headwaters of the world’s major rivers is now vastly more accurate due to a new University of Saskatchewan computer simulation model that can improve forecasts of downstream river flow