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***** To join INSNA, visit http://www.sfu.ca/~insna/ ***** A few people have emailed me to learn what responses were sent regarding my query on transmission / attenuation (e.g., for disease, information flow, etc.) It appears some early work (primarily by Linton Freeman et al) used shortest-paths (geodesics) to estimate transmission, but this suffered from some of the shortcomings of centrality measures (e.g., the shortest path is not necessarily the most relevant one). However, the development of Information Centrality appears to address that by incorporating all paths, according to two responses. See Stephenson-Zelen (1989) paper on information centrality and Noha Friedkin's measures of centrality. For that matter, I think there's a presentation of the algorithm for info centrality in Wasserman and Faust. Of course, the algorithm will require more complex matrix algebra (e.g., matrix inversion) than shortest path measures, I believe. I also found these articles on info centrality: Social networks in Disease Transmission: the colorado springs study - Rothenberg, Woodhouse, Potterat, Muth, Darrow and Klovdahl - NIDA research Monograph #151 on social networks, drug abuse, and HIV transmission And the following, which has a nice intro on various centrality algorithms: Centrality measures and Information Flows in venture Capital Syndication networks, by Mikko Jaaskelainen (2001). I found both of those articles on a google search. G -- Guy Hagen President, Innovation Insight 27810 Sky Lake Circle - Wesley Chapel - FL 33543 813.997.2111 - innovationinsight.com _____________________________________________________________________ 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.