***** To join INSNA, visit http://www.sfu.ca/~insna/ ***** Doug, For what it's worth, I think this paper is awful and should never be cited... :-) There is no one right way to normalize. Depends on what you are trying to measure. The logic of normalizing by ego is that you want to remove individual differences in the average tie strength and just focusing on structure. If you normalize based on the entire network, part of what drives density is variation in average tie strength. This strategy for normalization is implemented in STRUCTURE; definitely not original to us. And, BTW, our results don't depend on the normalization. Cheers, Ezra Zuckerman -----Original Message----- From: Social Networks Discussion Forum [mailto:[log in to unmask]] On Behalf Of Doug Bryan Sent: Friday, January 17, 2003 1:56 PM To: [log in to unmask] Subject: Reagans' & Zuckerman's team density metric Hi, I have 2 questions regarding Reagans and Zuckerman's work on R&D teams (Reagans R and Zuckerman E (2001) "Networks, diversity and productivity: The social capital of corporate R&D teams," Organization Science, 12(4):502-517): 1. Is the paper highly regarded? i.e., is it often cited? 2. In their metric for "team density" they normalize the strength of ties from i to j using the strength of the strongest tie from i. (See attached figure.) Why? Can people comment on the pros/cons of normalizing relative to each individual (max(tie(i,*))) versus normalizing relative to the whole team (max(tie(*,*))). thanks Doug Bryan [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.