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I would like to do a comparison of different organisations and
their network structures (nodes are people, ties are frequency and
usefulness of contacts, sizes vary significantly from n=100 to
n=1000; data is survey-generated; key question was to identify the top 25 contacts from a
list of everyone in the organisation and then give details on
One of the metrics I would like to compare (and where comparison
is not straightforward at all, hence my email to ask for help /
advice) is the E-I index, i.e. the degree to which contacts are
within teams or across teams.
The difficulty is that team sizes and numbers of teams within an
organisation differ so much. For instance if organisation A has 10
teams of 10 members each, every participant would have to nominate
members from outside their team to come up with 25 top contacts,
hence the degree of external contact might be higher by default
than for an organisation B with 2 teams of 50 members each, where
each participant could possibly nominate all 25 top contacts
within their own team.
This is further complicated by the fact that not everyone
participated in the survey (i.e. missing ties), that not everyone
nominated 25 people (most people don't count and just use this as
a rough guideline, or insist on nominating fewer or more), so
outdegree is not always 25 for each member and of course this
could vary by team as well (so members of one team, e.g. HR might
nominate more people disproportionately
if compared to the organisation's average because of
their outreach role).
Now, if anyone has come across any discussion of those problems in
the literature, or anyone mathematically minded on the list has an
idea on how to normalise these metrics so that they become
comparable, I'd be very happy to hear about it!
Thanks in advance!
Dr Kerstin Sailer
Lecturer in Complex Buildings
The Bartlett School of Graduate Studies
Faculty of the Built Environment
University College London (UCL)
14 Upper Woburn Place
London WC1H 0NN UK
T: +44 (0) 20 3108 9031
E: [log in to unmask]
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