***** To join INSNA, visit http://www.insna.org ***** Hello all, I am starting to receive replies...thanks to those of you who have replied, and I will be sending individual emails to you shortly. However, some of you have raised my awareness re: certain issues, and I therefore would like to give a bit more overview of this study (not too much...don't worry) to see if you can give me a bit more detailed feed back. Here goes: This will not be an artificial network -- or at least we hope not. It really depends on our sampling strategy, I suppose. Here's the study, and maybe you could advise... Our site is a national park. The topic is 'land management'. There are many different stakeholders we wish to interview and gather data on, including SNA data among stakeholders and information on how stakeholders make decisions re: land management. We would like to combine these two sets of information (SNA data and decision-making data) in ABM. So, here are some of the questions: 1. We do not really have a sampling frame...we'll be getting our sample through a combination of snowball sampling and theoretical sampling. I'm worried about the representativeness of the sample...any thoughts? 2. In addition, I understand that ABM is going to need a pretty large N. What I'm wondering, in the worse case scenario where we can not get this, could we use a combination of a 'real-life' model (based on our data) and some of the SNA models currently in existence (e.g. small world, scale-free, etc.)? Or even, could the data we've gathered act as a model, and then we could some how randomly increase the size of N based on this (smaller) sample? 3. Finally, are there other issues/problems I should be aware of in combing SNA and ABM in the way I've outlined above? I'll be going through the readings people have suggested, but perhaps, based on the information I've given here, you could point me towards more specific readings on this topic? Best wishes, Christina _____________________________________________________________________ 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.