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Web-based communities have become important places for people to seek and share expertise. We find that networks in these communities typically differ in their topology from other online networks such as the World Wide Web. Systems targeted to augment web-based communities by automatically identifying users with expertise, for example, need to adapt to the underlying interaction dynamics. In this study, we analyze the Java Forum, a large online help-seeking community, using social networkdoi:10.1145/1242572.1242603 dblp:conf/www/ZhangAA07 fatcat:zzg5d5fb6jaijin7ucr4sa3f5m