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Social Network Analysis for Behavioural Scientists using R (SNAR01)

2 July 2018 - 5 July 2018

£220.00 - £530.00

Course Overview:

This workshop will provide students with the opportunity to learn how to use social network analysis to analyze social relational datasets such as human friendship networks or animal social networks. Attendees will learn how to use R and several R packages including igraph, sna, network, asnipe, timeordered, tsna to create network graphs, calculate descriptive network metrics, use randomization and random models to evaluate the significance of these metrics, determine graph structural properties including community structures, use QAP and MRQAP methods to assess how network characteristics relate to other individual and relational attributes, and measure change over time in dynamic networks. Attendees will also learn how to produce high quality network visualizations using R.

Intended Audience

This workshop is ideal for any behavioral scientists including psychologists, ethologists, behavioral ecologists, behavioral neuroscientists, economists, who are interested in learning how to collect data for social network analysis or already have data that they wish to analyze using these methods.

Venue – PS statistics head office, 53 Morrison Street, Glasgow, G5 8LB – Google map
Availability – 30 places
Duration – 4 days
Contact hours – Approx. 28 hours
ECT’s – Equal to 3 ECT’s
Language – English

Packages

We offer COURSE ONLY and ACCOMMODATION PACKAGES;
• COURSE ONLY – Includes lunch and refreshments.
• ACCOMMODATION PACKAGE (to be purchased in addition to the course only option) – Includes breakfast, lunch, welcome dinner Monday evening, farewell dinner Wednesday evening, refreshments and accommodation. Self-catering facilities are available in the accommodation. Accommodation is approximately a 6-minute walk from the PS statistics head office. Accommodation is multiple occupancy (max 3-4 people) single sex en-suite rooms. Arrival Sunday 2nd July (after 5pm) and departure Thursday 5th July (accommodation must be vacated by 9am). An additional nights accommodation can be purchased, departure 9am Friday morning email for details.

Other payment options are available please email oliverhooker@psstatistics.com

Cancellation policy: Cancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered, contact oliverhooker@psstatistics.com Failure to attend will result in the full cost of the course being charged. In the unfortunate event that PS statistics must cancel this course due to unforeseen circumstances a full refund for the course will be credited. However PS statistics cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.

1235

Prof. James Curley

 

Teaching Format
Course Programme

Details

Start:
2 July 2018
End:
5 July 2018
Cost:
£220.00 - £530.00

Venue

PS statistics head office
53 Morrison Street
Glasgow, Scotland, G5 8LB United Kingdom
+ Google Map
Phone:
07966500340