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SUMMARY:Analysis of the call group structure in the BT call records datase
 t - David Hunter (University of Essex)
DTSTART:20120126T160000Z
DTEND:20120126T170000Z
UID:TALK34126@talks.cam.ac.uk
CONTACT:Eiko Yoneki
DESCRIPTION:Call record data from the BT Home OnLine study (1997-2000)\, w
 hich comprises household call records and extensive survey data for 400 ho
 useholds\, is being used to explore the value of novel network analysis me
 thods.  The talk will discuss how ideas from teletraffic theory and social
  network analysis can inform the generation of new models for timing and d
 ynamics of social interaction on the telephone.  Calls to and from each su
 bscriber are divided into “call groups”\, where successive calls are l
 ess than 120 seconds apart.  Through analysis of the start time and durati
 on of over 1\,200\,000 telephone calls\, insight is gained into the struct
 ure of call groups\, through a Markov chain model\, through calculation of
  conditional probabilities between successive calls in a group\, and also 
 through identification of for example\, “grapevine” and “batch” ca
 lls.  Grapevine calls occur when an incoming call is followed by several o
 utgoing calls\, for example when a subscriber receives a piece of news the
 n makes other calls in order to spread the news or seek further informatio
 n.  Batch calls occur when for example\, a subscriber chooses to make all 
 their telephone calls to friends and family in one sitting.  These dynamic
 s have already been identified through interviews with subscribers\; howev
 er this is the first time that analysis methods have been developed to qua
 ntify these effects by using appropriate algorithms on a large call record
  dataset which correlate the results to demographic data.  Intriguingly th
 is telephonic research is also generating new perspectives on grooming bet
 ween chimpanzees.\n\nBy David Hunter and Ben Anderson\, University of Esse
 x.\n
LOCATION:FW26\, Computer Laboratory\, William Gates Builiding
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