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BEGIN:VEVENT
DTSTAMP:20220214T171053Z
DTSTART:20220223T160000Z
DTEND:20220223T170000Z
SUMMARY:Mitchell Centre seminar series
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}l126-kyvj2f
 fw-mfcziy
DESCRIPTION:Marion Hoffman\nIAST Toulouse\n\nStatistical modeling of soci
 al groups: An example and some outlooks\n\nMany social relations are sit
 uated within groups. Social groups are formed\, for example\, when stude
 nts decide with whom to carry out their group assignments\, when researc
 hers collaborate on the writing of scientific papers\, or when citizens 
 join different political parties. Although many theories acknowledge the
  importance of groups to explain social outcomes\, we currently lack sta
 tistical tools to explain the existence and composition of these groups.
 \nExisting network models rely on dyadic representations of social relat
 ions and can only represent social groups as two-mode ties or node attri
 butes. An important limitation of such approaches is that they do not al
 low the modeling of coordination processes between all members of a grou
 p simultaneously but generally assume a successive creation of dyadic ti
 es. They also often require modelers to define the groups in advance\, w
 hile there are often no theoretical reasons to expect a priori a certain
  number of groups.\nRecent work on higher-order links and hypergraphs sh
 ows\, however\, that this gap can be bridged. This talk will first revie
 w the challenges associated with models for social groups and current so
 lutions to them. It will then present our recent contribution to this li
 terature\, a statistical model tailored for non-overlapping groups inspi
 red by previous models for social ties such as the ERGM. Finally\, this 
 model will be used to discuss the specification of group models more gen
 erally and the theoretical concerns they raise.
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:G6\, Humanities Bridgeford Street\, Manchester
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