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PRODID:-//Columba Systems Ltd//NONSGML CPNG/SpringViewer/ICal Output/3.3-
 M3//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20220321T102144Z
DTSTART:20220323T160000Z
DTEND:20220323T170000Z
SUMMARY:Mitchell Centre seminar series
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}n12g-kyvnhb
 45-e791ff
DESCRIPTION:Mirco Schönfeld	\nUniversity of Bayreuth\n\nNetworks in Conte
 xt\nAnalyzing networks in humanities research often involves aggregating
  diverse and many-faceted information about the objects of research usin
 g abstract concepts or numbers in order to fulfill algorithmic requireme
 nts: Most classical algorithms for network analysis operate on structura
 l information without any notion of context\, except for edge weights. V
 ariety\, richness\, and sensitivity of collected data is cut to a great 
 extent.\nIn real-world situations\, however\, actors and the connections
  between them are subject to contextual settings and can be significantl
 y influenced by these settings. In fact\, such real-world observations a
 re often modeled using attributed networks in which contextual informati
 on can be associated as attributes to nodes and edges. However\, this in
 formation is disregarded when evaluating the importance of actors in ter
 ms of network centrality measurements.\nThis presentation shows a method
  for obtaining shortest path-based centrality measurements for attribute
 d networks that exploits attribute information on nodes for shortest pat
 h calculations. The ability to take both structural and contextual data 
 into account creates additional analytic opportunities and can aid in ga
 ining a detailed understanding of rich social networks.\n
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:G6\, Humanities Bridgeford Street\, Manchester
END:VEVENT
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