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DTSTART:20190310T070000
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DTSTART:20181104T060000
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UID:69fdffe652208
DTSTART;TZID=America/Toronto:20190412T000000
SEQUENCE:0
TRANSP:TRANSPARENT
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URL:https://uwaterloo.ca/networks-lab/events/fundamentals-automated-content
 -analysis-social-scientists
LOCATION:EV1 - Environment 1 200 University Ave West Room number TBA Waterl
 oo ON N2L 3G1 Canada
SUMMARY:Fundamentals of automated content analysis for social scientists
CLASS:PUBLIC
DESCRIPTION:This one-day workshop offers a practical introduction to fundam
 entals\nand recent developments in automated content analysis. The worksho
 p is\ndesigned with social scientists in mind\, but participants from othe
 r\nfields (including digital humanities) are also welcome. We assume that\
 nparticipants have little to no prior experience with methods\nfor automa
 ted content analysis. 
DTSTAMP:20260508T152318Z
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BEGIN:VEVENT
UID:69fdffe6559f9
DTSTART;TZID=America/Toronto:20190410T000000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20190411T000000
URL:https://uwaterloo.ca/networks-lab/events/how-analyze-networks-r
LOCATION:EV1 - Environment 1 200 University Ave West TBA Waterloo ON N2L 3G
 1 Canada
SUMMARY:How to analyze networks with R
CLASS:PUBLIC
DESCRIPTION:In this two-day workshop\, you will learn a variety of tools fo
 r\nanalyzing data on social and information networks using the\nprogrammin
 g language R. The first day will be an introduction to R and\nRStudio\, fo
 llowed by a series of classic topics in network analysis\,\nsuch as centra
 lity analysis and community detection. The second day\nwill cover visuali
 zation\, handling extremely dense networks\, and\ndeveloping statistical 
 models for network data. \n\nThe workshop sessions will combine short lec
 tures and demonstrations\nwith hands-on time analyzing your own (or our) n
 etwork data. 
DTSTAMP:20260508T152318Z
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