***** To join INSNA, visit http://www.insna.org ***** Hi, I'm looking for cohesive sub-groups in a valued graph (200x200, values up to 150-ish). I'm keen to understand how these groups might overlap and how they are nested, without losing the valuable link values. I'm not terribly keen on dichotomizing the data on a restricted and arbitrary series of thresholds, but I don't have the time to create and analyse 149 dichotomized networks. Does anyone know of software that can perform Peay's (1974) upward/downward procedure(s)? Alternatively, is there a better way...? As a rider - does anyone have a preferred heuristic for choosing levels at which to dichotomize valued data, for those procedures that require it? When using de Nooy's m-slicing, I've tended to use the highest level that gives a single large component as a reference point. Thanks in advance, Mark Round Professional Scientist, System Concepts & Assessment QinetiQ, Bldg Turing Rm 208 St. Andrews Road, Malvern Worcs, WR14 3PS Tel: +44 (0) 1684 894450 Email: [log in to unmask] <mailto:[log in to unmask]> ; RLI email: [log in to unmask] <mailto:[log in to unmask]> Mobile: 07900 327307 Fax: 01684 897461 The information contained in this E-Mail and any subsequent correspondence is private and is intended solely for the intended recipient(s). The information in this communication may be confidential and/or legally privileged. Nothing in this e-mail is intended to conclude a contract on behalf of QinetiQ or make QinetiQ subject to any other legally binding commitments, unless the e-mail contains an express statement to the contrary or incorporates a formal Purchase Order. For those other than the recipient any disclosure, copying, distribution, or any action taken or omitted to be taken in reliance on such information is prohibited and may be unlawful. Emails and other electronic communication with QinetiQ may be monitored and recorded for business purposes including security, audit and archival purposes. Any response to this email indicates consent to this. Telephone calls to QinetiQ may be monitored or recorded for quality control, security and other business purposes. _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.