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Wed 30 Jan 2019
09:00 - 18:00
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Provided by: Social Sciences Research Methods Programme


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Social Network Analysis

Wed 30 Jan 2019

Description

This introductory course is for graduate students who have no prior training in social network analysis (SNA). In the morning, we overview SNA concepts and analyse key articles in the literature. In the afternoon, students learn to handle relational databases and code for SNA research using R.

Link to a key paper in the SNA literature: https://www.jstor.org/stable/2781822?Search=yes&resultItemClick=true&searchText=robust&searchText=action&searchText=padgett&searchUri=%2Faction%2FdoBasicSearch%3FQuery%3Drobust%2Baction%2Bpadgett&refreqid=search%3Ac4254643dc4499f2a9c8608f9e871d96&seq=1#page_scan_tab_contents

Sessions

Number of sessions: 2

# Date Time Venue Trainer
1 Wed 30 Jan   09:00 - 13:00 09:00 - 13:00 8 Mill Lane, Lecture Room 1 map Naim Bro
2 Wed 30 Jan   14:00 - 18:00 14:00 - 18:00 University Information Services, Titan Teaching Room 1, New Museums Site map Naim Bro
Topics covered
  • An overview of themes in the literature on SNA
  • Searching, producing, and formating relational data
  • Basic network statistics using R
  • Visualisation of graphs
Readings
  • Scott, John. 2017. Social Network Analysis. London: Sage Publications Ltd.
  • Watts, Duncan J. 2007. Six Degrees: The Science of a Connected Age. New York, NY: Norton.
Assessment

There may be an online open-book test at the end of the module; for most students, the test is not compulsory.

How to Book

Click the "Booking" panel on the left-hand sidebar (on a phone, this will be via a link called Booking/Availability near the top of the page).

Duration

8 hours - A morning lecture and an afternoon lab session
This is an intensive, one-day module


Booking / availability