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(Workshop #7) Introduction to Network Analysis

 

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Introduction to Network Analysis

 

Workshop Details

Date: November 25, 26, and 29, 2021 (3-day workshop)

Time: T.B.A

Venue: Online via Zoom

Workshop Language: English

Instructors: Dr. Katherine Ognyanova

Schedule

Day 1 (November 25, 2021)
14:00-16:00 (GMT+3) Introduction, data formats, network properties
16:00-16:15 (GMT+3) Break
16:15-18:15 (GMT+3) Network analysis and visualization using NodeXL and Gephi
Day 2 (November 26, 2021)
14:00-16:00 (GMT+3) Introduction to R for networks
16:00-16:15 (GMT+3) Break
16:15-18:15 (GMT+3) Network analysis and visualization in R
Day 3 (November 29, 2021)
14:00-16:00 (GMT+3) Network analysis in R: Practical guide
16:00-16:15 (GMT+3) Break
16:15-18:15 (GMT+3) Network analysis in R: Advanced topics

Course description

Network science is a rapidly growing multidisciplinary area that allows us to understand the dynamics of interconnected systems: social, digital, physical, biological, economic, political, and others.

This workshop will provide a brief introduction to the R language for statistical computing and its use to process and analyze network data. The session will provide an overview of network formats, focusing on their structure and representation in R packages. The workshop will also cover basics of network visualization in the R environment.

Participants will learn how to calculate and interpret key graph metrics providing insight into the structure of networks. Series of examples will guide workshop attendees through the process of formatting and cleaning network data, to examining network structure, identifying influential actors and communities, and creating network graphs and diagrams.

To accommodate participants who prefer doing basic network analysis and visualization without coding, the workshop will also offer brief introductions to NodeXL (www.smrfoundation.org/nodexl) and Gephi (gephi.org).

Keywords

Network analysis, network visualization

Target group

Master students

Graduates (not doctoral candidates), interested non-scientists

Doctoral candidates

Postdoctoral researchers

Experienced researchers

Learning objectives

Participants will learn how to analyze and visualize network data. We will cover ways to gain insights through evaluation of relational information about connected systems (e.g. interpersonal and organizational networks, social media networks, etc.)

Requirements

N/A