***** To join INSNA, visit http://www.sfu.ca/~insna/ ***** Dear Socnetters, Hope you do not consider this too much of a newbe question. I am trying to find a way (in UciNet or Pajek) to calculate a node's degree centrality that distinguishes between ties within a division and between divisions and companies. So say 'Mike' from the life sciences division reports to have four friends in his own division, two in the micro biology division and three in supplier "X". I could of course simply count, but that seems a bit much for around 150-200 people. Is there a way to use a attribute file to generate something like: Life sciences Micro biology Supplier X Mike 4 2 3 Maybe with a extra column on the percentage of ties in each group etc. It seems so extremely trivial that I cannot imagine that somebody has not done this before me. The other has to do with visualizing. How can I artificially cluster a group of nodes on the basis of the division or company they are in (without showing ties between people from similar divisions)? So that I get a network picture where Mike and his four friends from Life sciences are grouped and that his three supplier friends are grouped etc. Thanks in advance for any help, Bob -- R.C. Kijkuit Department of Technology and Innovation Rotterdam School of Management/Faculteit Bedrijfskunde Erasmus University Rotterdam F3-65 Postbus 1738 3000 DR Rotterdam The Netherlands Tel. + 31(0)10-4082544 Fax. + 31(0)10-4089014 E-mail: [log in to unmask] _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.sfu.ca/~insna/). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.