***** To join INSNA, visit http://www.insna.org ***** I have data on the connections between individual members of community organizations and various city offices. I am conducting an analysis on the effectiveness of community organizations. So I would like to aggregate the individual level data to the group. What are people's opinions about the pros/cons of different techniques. I see at least three different options. 1. One can create a dichotomous variable that equals one if at least one group member has contacted a specific city office (0 otherwise). The issue with this option is that it loses information about the amount of interaction between the group and the office. 2. One can measure the total number of contacts between group members and a particular office. The issue here is that this measure will be affected by the differing sizes of each group. 3. One can measure the average number of contacts between group members and a partiular office. The advantage here is that this measure includes information on the intensity of communication, but it is not biased by group size. The disadvantage is that it is not clear how to calculate measures of effective ego network size or ego network efficiency when you begin with averages. Any thoughts. Thanks Chris ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Christopher Weare Associate Director, Civic Engagement Initiative Research Associate Professor School of Policy, Planning, and Development VKC 371 University of Southern California Los Angeles, CA 90089-0626 213-740-4690 voice [log in to unmask] _____________________________________________________________________ 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.