BEGIN:VCALENDAR
PRODID:-//Columba Systems Ltd//NONSGML CPNG/SpringViewer/ICal Output/3.3-
 M3//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20170227T124350Z
DTSTART:20170301T160000Z
DTEND:20170301T173000Z
SUMMARY:Mitchell Centre Seminar Series
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}x2f-iya6xc8
 h-pwasvt
DESCRIPTION:Speaker: Martin Everett\, University of Manchester\n\nTitle: 
 Dealing with overlapping categorical attribute data.\n\nSuppose you have
  a network of ties among individuals\, along with their participation is
  various activities. If participation were mutually exclusive\, you woul
 d have the simple situation of a single categorical variable that identi
 fies which activity each node was associated with. We could\, then\, for
  example\, look at the degree to which a node’s alters belong to each ca
 tegory. We could also assess the overall heterogeneity of each person’s 
 alters with respect to these activities – are their friends split across
  many categories\, or are most of their friends just one kind?\n\nConsid
 er now the possibility that each alter might be associated with multiple
  categories. For example\, the categories may represent activities\, and
  the alters may both play the piano and play tennis. The question is can
  we still calculate attribute-based measures such the diversity of activ
 ities participated in by ego’s alters?\n\nThe question has bearing on a 
 number of related analyses. A staple of ego network analysis is the asse
 ssment of ego-alter similarity ie homophily. When choices are mutually e
 xclusive\, we can record node choices as categorical variables\, and it 
 is easy to construct measures of ego-alter similarity. For example\, the
  simplest measure is the proportion homophilous: what proportion of ego’
 s alters made the same choice as ego? But again\, what if the choices ar
 e not mutually exclusive\, and an alter (not to mention ego) could have 
 made multiple choices? In this paper\, we consider a general approach to
  adapting measures conceived for categorical variables (i.e.\, partition
 s) to the case where we have instead node-by-category indicator matrices
 \, as in the case of participation in multiple activities.  We look at t
 he Blau index\, E-I\, Yules Q and G-F brokerage. In addition we look at 
 a form of Burt’s structural holes which takes account of associations to
  different categories.
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:4.8\, Roscoe Building\, Manchester
END:VEVENT
END:VCALENDAR